From 82f0f6938321b84296de910308f2d4b1de91481f Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Sun, 23 Jan 2022 15:13:48 +0200
Subject: [PATCH 01/14] my first commit

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+print("Hello!")
\ No newline at end of file

From e10373cda2250ff9e0ba8727382feed9c082c8ab Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Sat, 29 Jan 2022 18:20:12 +0200
Subject: [PATCH 02/14] task 1

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 Titanic.ipynb | 1 +
 1 file changed, 1 insertion(+)
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+{"cells":[{"metadata":{"id":"MMAXD2Bg3fAl"},"cell_type":"markdown","source":"### Kaggle Competition | Titanic Machine Learning from Disaster\n\n>The sinking of the RMS Titanic is one of the most infamous shipwrecks in history.  On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew.  This sensational tragedy shocked the international community and led to better safety regulations for ships.\n\n>One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew.  Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.\n\n>In this contest, we ask you to complete the analysis of what sorts of people were likely to survive.  In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.\n\n>This Kaggle Getting Started Competition provides an ideal starting place for people who may not have a lot of experience in data science and machine learning.\"\n\nFrom the competition [homepage](http://www.kaggle.com/c/titanic-gettingStarted).\n\n\n### Goal for this Notebook:\nMake a simple analysis of the Titanic disaster in Python using a full complement of PyData utilities.\n\n#### Required Libraries:\n* [NumPy](http://www.numpy.org/)\n* [IPython](http://ipython.org/)\n* [Pandas](http://pandas.pydata.org/)\n* [SciKit-Learn](http://scikit-learn.org/stable/)\n* [SciPy](http://www.scipy.org/)\n* [Matplotlib](http://matplotlib.org/)\n\n***The competition's website is located on [Kaggle.com](http://www.kaggle.com/c/titanic-gettingStarted).***"},{"metadata":{"id":"fQey2NMy3fAw","trusted":true},"cell_type":"code","source":"import matplotlib.pyplot as plt\n%matplotlib inline\nimport numpy as np\nimport pandas as pd\nimport seaborn as sns\nfrom sklearn.preprocessing import OneHotEncoder\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.svm import SVC\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import classification_report, accuracy_score, plot_confusion_matrix\nimport warnings\nwarnings.filterwarnings(\"ignore\")","execution_count":1,"outputs":[]},{"metadata":{"id":"bhp18NQo3fAy"},"cell_type":"markdown","source":"### Data Handling\n#### Read data (training set) in using pandas:"},{"metadata":{"id":"J5LILRd_8NO5","trusted":true},"cell_type":"code","source":"df = pd.read_csv('train.csv')","execution_count":2,"outputs":[]},{"metadata":{"id":"n5eT1bfh3fA0"},"cell_type":"markdown","source":"Show an overview of our data: "},{"metadata":{"id":"YNTiYmrA3fA1","trusted":true},"cell_type":"code","source":"df","execution_count":3,"outputs":[{"data":{"text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Ticket</th>\n      <th>Fare</th>\n      <th>Cabin</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>A/5 21171</td>\n      <td>7.2500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>PC 17599</td>\n      <td>71.2833</td>\n      <td>C85</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>STON/O2. 3101282</td>\n      <td>7.9250</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>113803</td>\n      <td>53.1000</td>\n      <td>C123</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>373450</td>\n      <td>8.0500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>886</th>\n      <td>887</td>\n      <td>0</td>\n      <td>2</td>\n      <td>Montvila, Rev. Juozas</td>\n      <td>male</td>\n      <td>27.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>211536</td>\n      <td>13.0000</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>887</th>\n      <td>888</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Graham, Miss. Margaret Edith</td>\n      <td>female</td>\n      <td>19.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>112053</td>\n      <td>30.0000</td>\n      <td>B42</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>888</th>\n      <td>889</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n      <td>female</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>2</td>\n      <td>W./C. 6607</td>\n      <td>23.4500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>889</th>\n      <td>890</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Behr, Mr. Karl Howell</td>\n      <td>male</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>111369</td>\n      <td>30.0000</td>\n      <td>C148</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>890</th>\n      <td>891</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Dooley, Mr. Patrick</td>\n      <td>male</td>\n      <td>32.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>370376</td>\n      <td>7.7500</td>\n      <td>NaN</td>\n      <td>Q</td>\n    </tr>\n  </tbody>\n</table>\n<p>891 rows × 12 columns</p>\n</div>","text/plain":"     PassengerId  Survived  Pclass  \\\n0              1         0       3   \n1              2         1       1   \n2              3         1       3   \n3              4         1       1   \n4              5         0       3   \n..           ...       ...     ...   \n886          887         0       2   \n887          888         1       1   \n888          889         0       3   \n889          890         1       1   \n890          891         0       3   \n\n                                                  Name     Sex   Age  SibSp  \\\n0                              Braund, Mr. Owen Harris    male  22.0      1   \n1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                               Heikkinen, Miss. Laina  female  26.0      0   \n3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                             Allen, Mr. William Henry    male  35.0      0   \n..                                                 ...     ...   ...    ...   \n886                              Montvila, Rev. Juozas    male  27.0      0   \n887                       Graham, Miss. Margaret Edith  female  19.0      0   \n888           Johnston, Miss. Catherine Helen \"Carrie\"  female   NaN      1   \n889                              Behr, Mr. Karl Howell    male  26.0      0   \n890                                Dooley, Mr. Patrick    male  32.0      0   \n\n     Parch            Ticket     Fare Cabin Embarked  \n0        0         A/5 21171   7.2500   NaN        S  \n1        0          PC 17599  71.2833   C85        C  \n2        0  STON/O2. 3101282   7.9250   NaN        S  \n3        0            113803  53.1000  C123        S  \n4        0            373450   8.0500   NaN        S  \n..     ...               ...      ...   ...      ...  \n886      0            211536  13.0000   NaN        S  \n887      0            112053  30.0000   B42        S  \n888      2        W./C. 6607  23.4500   NaN        S  \n889      0            111369  30.0000  C148        C  \n890      0            370376   7.7500   NaN        Q  \n\n[891 rows x 12 columns]"},"execution_count":3,"metadata":{},"output_type":"execute_result"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(df.describe(), '\\n')\nprint('Data size: ', df.shape)","execution_count":4,"outputs":[{"name":"stdout","output_type":"stream","text":"       PassengerId    Survived      Pclass         Age       SibSp  \\\ncount   891.000000  891.000000  891.000000  714.000000  891.000000   \nmean    446.000000    0.383838    2.308642   29.699118    0.523008   \nstd     257.353842    0.486592    0.836071   14.526497    1.102743   \nmin       1.000000    0.000000    1.000000    0.420000    0.000000   \n25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n75%     668.500000    1.000000    3.000000   38.000000    1.000000   \nmax     891.000000    1.000000    3.000000   80.000000    8.000000   \n\n            Parch        Fare  \ncount  891.000000  891.000000  \nmean     0.381594   32.204208  \nstd      0.806057   49.693429  \nmin      0.000000    0.000000  \n25%      0.000000    7.910400  \n50%      0.000000   14.454200  \n75%      0.000000   31.000000  \nmax      6.000000  512.329200   \n\nData size:  (891, 12)\n"}]},{"metadata":{"id":"ad27EQkf3fA3"},"cell_type":"markdown","source":"### Learn more about the data:\n\nAbove is a summary of data contained in a `Pandas` `DataFrame`. Think of a `DataFrame` as a Python's super charged version of the workflow in an Excel table. As you can see the summary holds quite a bit of information. First, it lets us know we have 891 observations, or passengers, to analyze here.\n\nNext it shows us all of the columns in `DataFrame`. Each column tells us something about each of our observations, like their `name`, `sex` or `age`. These colunms  are called a features of our dataset. You can think of the meaning of the words column and feature as interchangeable for this notebook. \n\nAfter each feature it lets us know how many values it contains. While most of our features have complete data on every observation, like the `survived` feature here: \n\n    survived    891  non-null values \n\nsome are missing information, like the `age` feature: \n\n    age         714  non-null values \n\nThese missing values are represented as `NaN`s.\n\n### Take care of missing values:\nThe features `ticket` and `cabin` have many missing values and so can’t add much value to our analysis. To handle this we will drop them from the dataframe to preserve the integrity of our dataset. Drop waste features.\n\nAlso remove NaN values from each remaining column / feature.\n\nNow we have a clean and tidy dataset that is ready for analysis. \n\n"},{"metadata":{"id":"EMZbA3Aw3fA5","trusted":true},"cell_type":"code","source":"# Remove ticket and cabin features\ndf = df.drop(['Ticket', 'Cabin'], axis=1)\ndf","execution_count":5,"outputs":[{"data":{"text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Fare</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>7.2500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>71.2833</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.9250</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>53.1000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8.0500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>886</th>\n      <td>887</td>\n      <td>0</td>\n      <td>2</td>\n      <td>Montvila, Rev. Juozas</td>\n      <td>male</td>\n      <td>27.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>13.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>887</th>\n      <td>888</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Graham, Miss. Margaret Edith</td>\n      <td>female</td>\n      <td>19.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>888</th>\n      <td>889</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n      <td>female</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>2</td>\n      <td>23.4500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>889</th>\n      <td>890</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Behr, Mr. Karl Howell</td>\n      <td>male</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>890</th>\n      <td>891</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Dooley, Mr. Patrick</td>\n      <td>male</td>\n      <td>32.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.7500</td>\n      <td>Q</td>\n    </tr>\n  </tbody>\n</table>\n<p>891 rows × 10 columns</p>\n</div>","text/plain":"     PassengerId  Survived  Pclass  \\\n0              1         0       3   \n1              2         1       1   \n2              3         1       3   \n3              4         1       1   \n4              5         0       3   \n..           ...       ...     ...   \n886          887         0       2   \n887          888         1       1   \n888          889         0       3   \n889          890         1       1   \n890          891         0       3   \n\n                                                  Name     Sex   Age  SibSp  \\\n0                              Braund, Mr. Owen Harris    male  22.0      1   \n1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                               Heikkinen, Miss. Laina  female  26.0      0   \n3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                             Allen, Mr. William Henry    male  35.0      0   \n..                                                 ...     ...   ...    ...   \n886                              Montvila, Rev. Juozas    male  27.0      0   \n887                       Graham, Miss. Margaret Edith  female  19.0      0   \n888           Johnston, Miss. Catherine Helen \"Carrie\"  female   NaN      1   \n889                              Behr, Mr. Karl Howell    male  26.0      0   \n890                                Dooley, Mr. Patrick    male  32.0      0   \n\n     Parch     Fare Embarked  \n0        0   7.2500        S  \n1        0  71.2833        C  \n2        0   7.9250        S  \n3        0  53.1000        S  \n4        0   8.0500        S  \n..     ...      ...      ...  \n886      0  13.0000        S  \n887      0  30.0000        S  \n888      2  23.4500        S  \n889      0  30.0000        C  \n890      0   7.7500        Q  \n\n[891 rows x 10 columns]"},"execution_count":5,"metadata":{},"output_type":"execute_result"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Remove NaN values\ndf = df.dropna()\ndf","execution_count":6,"outputs":[{"data":{"text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Fare</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>7.2500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>71.2833</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.9250</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>53.1000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8.0500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>885</th>\n      <td>886</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Rice, Mrs. William (Margaret Norton)</td>\n      <td>female</td>\n      <td>39.0</td>\n      <td>0</td>\n      <td>5</td>\n      <td>29.1250</td>\n      <td>Q</td>\n    </tr>\n    <tr>\n      <th>886</th>\n      <td>887</td>\n      <td>0</td>\n      <td>2</td>\n      <td>Montvila, Rev. Juozas</td>\n      <td>male</td>\n      <td>27.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>13.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>887</th>\n      <td>888</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Graham, Miss. Margaret Edith</td>\n      <td>female</td>\n      <td>19.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>889</th>\n      <td>890</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Behr, Mr. Karl Howell</td>\n      <td>male</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>890</th>\n      <td>891</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Dooley, Mr. Patrick</td>\n      <td>male</td>\n      <td>32.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.7500</td>\n      <td>Q</td>\n    </tr>\n  </tbody>\n</table>\n<p>712 rows × 10 columns</p>\n</div>","text/plain":"     PassengerId  Survived  Pclass  \\\n0              1         0       3   \n1              2         1       1   \n2              3         1       3   \n3              4         1       1   \n4              5         0       3   \n..           ...       ...     ...   \n885          886         0       3   \n886          887         0       2   \n887          888         1       1   \n889          890         1       1   \n890          891         0       3   \n\n                                                  Name     Sex   Age  SibSp  \\\n0                              Braund, Mr. Owen Harris    male  22.0      1   \n1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                               Heikkinen, Miss. Laina  female  26.0      0   \n3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                             Allen, Mr. William Henry    male  35.0      0   \n..                                                 ...     ...   ...    ...   \n885               Rice, Mrs. William (Margaret Norton)  female  39.0      0   \n886                              Montvila, Rev. Juozas    male  27.0      0   \n887                       Graham, Miss. Margaret Edith  female  19.0      0   \n889                              Behr, Mr. Karl Howell    male  26.0      0   \n890                                Dooley, Mr. Patrick    male  32.0      0   \n\n     Parch     Fare Embarked  \n0        0   7.2500        S  \n1        0  71.2833        C  \n2        0   7.9250        S  \n3        0  53.1000        S  \n4        0   8.0500        S  \n..     ...      ...      ...  \n885      5  29.1250        Q  \n886      0  13.0000        S  \n887      0  30.0000        S  \n889      0  30.0000        C  \n890      0   7.7500        Q  \n\n[712 rows x 10 columns]"},"execution_count":6,"metadata":{},"output_type":"execute_result"}]},{"metadata":{"id":"4i8syK1K8lZf","trusted":true},"cell_type":"code","source":"# Don't touch this cell\nassert \"ticket\" not in df.columns\nassert \"cabin\" not in df.columns\nassert df.isna().sum().sum() == 0","execution_count":7,"outputs":[]},{"metadata":{"id":"jLG-xK5t3fA6"},"cell_type":"markdown","source":"For a detailed look at how to use pandas for data analysis, the best resource is Wes Mckinney's [book](http://shop.oreilly.com/product/0636920023784.do). Additional interactive tutorials that cover all of the basics can be found [here](https://bitbucket.org/hrojas/learn-pandas) (they're free).  If you still need to be convinced about the power of pandas check out this wirlwhind [look](http://wesmckinney.com/blog/?p=647) at all that pandas can do. "},{"metadata":{"id":"4p5-6okC3fA7"},"cell_type":"markdown","source":"### Let's take a Look at our data graphically:\n\nPlot 5 graphs in this section:\n\n\n1.   Plots a bar graph of those who survived vs those who did not. \n2.   Plots a Scatterplot of Survived distribution by Age\n3.   Plots a bar graph of Class distribution\n4.   Plots kernel density estimate of the passengers age separately for all 3 classes\n5.   Plots a bar graph of passengers per boarding location\n\n"},{"metadata":{"id":"tMdpxz7J3fA8","trusted":true},"cell_type":"code","source":"# specifies the parameters of our graphs\n\nfig = plt.figure(figsize=(18,10), dpi=1000) \nalpha=alpha_scatterplot = 0.2 \nalpha_bar_chart = 0.55\n\n# plot many diffrent shaped graphs together \nax1 = plt.subplot2grid((2,3),(0,0)) \n\n# plots a bar graph of those who surived vs those who did not. \nplt.title('Distribution of Survival, (1 = Survived)') \nsurv = [len(df[(df['Survived']==0)]), len(df[(df['Survived']==1)])]\n#print(surv)\nax1.bar(['0', '1'], surv)\n\n# plots a stem graph of the percentage of survivors according to age.\nplt.subplot2grid((2,3),(0,1))\nplt.title('Survival by Age,  (100 = Everyone survived)')\npassenger_age = np.array(pd.unique(df['Age']))\ndistr = np.array([100*len(df[(df['Age']==age) & (df['Survived']==1)])/len(df[df['Age']==age]) for age in passenger_age])\nplt.stem(passenger_age, distr)\n\nax3 = plt.subplot2grid((2,3),(0,2))\nplt.title('Class Distribution')\nclasses = np.array([1, 2, 3])\nclasses_distr = np.array([len(df[(df['Pclass']==cl)]) for cl in classes])\nplt.bar(['First', 'Second', 'Third'], classes_distr)\n\n# plots a kernel density estimate of the subset of the 1st class passangers's age\nplt.subplot2grid((2,3),(1,0), colspan=2)\nplt.title('Age Distribution within classes')\nsns.kdeplot(data=df, x='Age', hue='Pclass', common_norm=False, palette='crest')\n\n\nax5 = plt.subplot2grid((2,3),(1,2))\nplt.title('Passengers per boarding location')\nb_locations = np.array(pd.unique(df['Embarked']))\nplt.bar(b_locations, df['Embarked'].value_counts())\n","execution_count":8,"outputs":[{"data":{"text/plain":"<BarContainer object of 3 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size 18000x10000 with 5 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"nRihWNpk3fA9"},"cell_type":"markdown","source":"### Exploratory Visualization:\n\nThe point of this competition is to predict if an individual will survive based on the features in the data like:\n \n * Traveling Class (called pclass in the data)\n * Sex \n * Age\n * Fare Price\n\nLet’s see if we can gain a better understanding of who survived and died. \n\n\nFirst plot a bar graph of those who Survived Vs. Those who did not.\n"},{"metadata":{"id":"-QXHr82g3fA-","trusted":true},"cell_type":"code","source":"plt.title('Distribution of Survival')\nplt.bar(['Not survived', 'Survived'], surv)","execution_count":9,"outputs":[{"data":{"text/plain":"<BarContainer object of 2 artists>"},"execution_count":9,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAXcAAAEICAYAAACktLTqAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAY10lEQVR4nO3df7RcZX3v8ffHgKCCCCsHGpJIkMYfwVVjOaLWtlJhCYIa4AqGKo2W22iLP4t6wV8F21Taira9Fq+xcokohPhrEdGiGM0Fr0oMGH4EpKYkhkNicgARYm2uiZ/7x36ODCdzzplz5kwID5/XWlmz59nPfvZ3huEzez9nz4xsExERdXnCo11ARERMvoR7RESFEu4RERVKuEdEVCjhHhFRoYR7RESFEu4xIZL+l6QPTNJYT5e0TdKUcn+lpP8+GWOX8f5N0oLJGm8c+/0bSfdK+unu3nebWrZJesYkjGNJvz0ZNUVvJdxjF5I2SPqlpIckPSDpu5LeLOk3rxfbb7b91x2OddxofWxvtL2f7Z2TUPv5kj47bPxX2F7S7djjrGMmcA4wx/ZvjdDnvZLWl+AdkHRlr+opz+9dvRo/9jwJ9xjJq2zvDxwGXAj8D+DTk70TSXtN9ph7iMOA+2xvbbeynEmcCRxnez+gH1gxkR1V/BxGFxLuMSrbP7e9HHgtsEDScwEkXSrpb8ryVElXl6P8+yVdL+kJki4Dng58pRydvkfSrHJqf5akjcC3WtpaQ+oISask/VzSVZIOKvs6RtJAa41DZweSTgDeC7y27O/msv430zylrvdL+omkrZI+I+mAsm6ojgWSNpYplfeN9NxIOqBsP1jGe38Z/zjgWuDQUselbTZ/AfB12/9Rnuef2l48/DG13P/NGckIz+E1kt4yrL6bJZ1ali3ptyW9SNJPh6bAyrpTJN1Slo+W9L3y33KzpI9LeuJIz0HsuRLu0RHbq4AB4A/arD6nrOsDDqEJWNs+E9hIcxawn+2/b9nmpcBzgONH2OWfAH8KHArsAP65gxqvAf4WuLLs73ltur2h/Psj4BnAfsDHh/X5feBZwLHAByU9Z4Rd/k/ggDLOS0vNb7T9TeAVwKZSxxvabPt94E8kvVtSf2vYjkPrc3g5cMbQCklzaM4evtq6ge3vA78AXtbS/Mdle4CdwDuBqcCLaZ6Dv5hAbfEoS7jHeGwCDmrT/itgGnCY7V/Zvt5jf2nR+bZ/YfuXI6y/zPZttn8BfAA4fYIBONzrgI/avsv2NuA8YP6ws4YLbP/S9s3AzcAubxKlltcC59l+yPYG4CKaqZYx2f4s8FaaYP4/wFZJ547zsbQ+h18G5ko6rOVxfsn29jbbXUF5I5C0P3BiacP2jba/b3tHeUyfpHkTiceYhHuMx3Tg/jbt/wCsA74h6a4OQ+rucaz/CbA3zdFktw4t47WOvRfNGceQ1qtb/pPm6H64qcAT24w1vdNCbH/O9nHA04A3Ax+SNNKZTDu/eY5sP0RzlD6/NM0HPjfCdpcDp0raBzgVuMn2TwAkPbNMsf1U0oM0Z0KT8bzHbpZwj45IegFNcH1n+Lpy5HqO7WcArwL+UtKxQ6tHGHKsI/uZLctPpzk7uJdmSuHJLXVNoZkO6nTcTTTTFa1j7wC2jLHdcPeWmoaPdc84x6Gc7XweuAV4bml+xOME2l1xM/yxXgGcIenFwJOAb4+wv9tp3ohewSOnZAA+AfwImG37qTRTbBrXA4o9QsI9RiXpqZJeCSwFPmv71jZ9Xln+WCfgQZp526HLGrfQzEmP1+slzZH0ZOBDwBfKpZL/Duwr6SRJewPvB/Zp2W4LMEstl20OcwXwTkmHS9qPh+fod4ynuFLLMmCRpP3LdMhfAp8dfcuGpDeUx7B/+SPsK4AjgRtKlzU000V7S+oHXtPBsF+jebP5UHlMvx6l7+XA24A/BD7f0r4/zX/DbZKeDfx5J48n9jwJ9xjJVyQ9RHPq/z7go8AbR+g7G/gmsA34HnCx7ZVl3YeB95erL941jv1fBlxKM0WyL00QYfvnNH/g+1eao+Rf0Pwxd8hQUN0n6aY2415Sxr4OWA/8F83c90S8tez/LpozmsvL+J14kOaoeCPwAPD3wJ/bHjoz+gBwBPAz4AIeeXTdVplf/xJwXAf9rwCOAb5l+96W9nfRHM0/BHwK6Nm199Fbyo91RETUJ0fuEREVSrhHRFQo4R4RUaGEe0REhfaILxyaOnWqZ82a9WiXERHxmHLjjTfea7uv3bo9ItxnzZrF6tWrH+0yIiIeUyT9ZKR1mZaJiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKjQHvEJ1W7NOverY3eKx6UNF570aJcQ8ajIkXtERIUS7hERFUq4R0RUKOEeEVGhhHtERIUS7hERFUq4R0RUqONwlzRF0g8lXV3uHyTpWkk/LrcHtvQ9T9I6SXdKOr4XhUdExMjGc+T+duCOlvvnAitszwZWlPtImgPMB44ETgAuljRlcsqNiIhOdBTukmYAJwH/2tI8D1hSlpcAJ7e0L7W93fZ6YB1w9KRUGxERHen0yP0fgfcAv25pO8T2ZoBye3Bpnw7c3dJvoLQ9gqSFklZLWj04ODjeuiMiYhRjhrukVwJbbd/Y4Zhq0+ZdGuzFtvtt9/f19XU4dEREdKKTLw57CfBqSScC+wJPlfRZYIukabY3S5oGbC39B4CZLdvPADZNZtERETG6MY/cbZ9ne4btWTR/KP2W7dcDy4EFpdsC4KqyvByYL2kfSYcDs4FVk155RESMqJuv/L0QWCbpLGAjcBqA7bWSlgG3AzuAs23v7LrSiIjo2LjC3fZKYGVZvg84doR+i4BFXdYWERETlE+oRkRUKOEeEVGhhHtERIUS7hERFUq4R0RUKOEeEVGhhHtERIUS7hERFUq4R0RUKOEeEVGhhHtERIUS7hERFUq4R0RUKOEeEVGhhHtERIUS7hERFerkB7L3lbRK0s2S1kq6oLSfL+keSWvKvxNbtjlP0jpJd0o6vpcPICIidtXJLzFtB15me5ukvYHvSPq3su5jtj/S2lnSHJrfWj0SOBT4pqRn5qf2IiJ2n05+INu2t5W7e5d/HmWTecBS29ttrwfWAUd3XWlERHSsozl3SVMkrQG2AtfavqGseoukWyRdIunA0jYduLtl84HSNnzMhZJWS1o9ODg48UcQERG76Cjcbe+0PReYARwt6bnAJ4AjgLnAZuCi0l3thmgz5mLb/bb7+/r6JlB6RESMZFxXy9h+AFgJnGB7Swn9XwOf4uGplwFgZstmM4BN3ZcaERGd6uRqmT5JTyvLTwKOA34kaVpLt1OA28rycmC+pH0kHQ7MBlZNatURETGqTq6WmQYskTSF5s1gme2rJV0maS7NlMsG4E0AttdKWgbcDuwAzs6VMhERu9eY4W77FuD5bdrPHGWbRcCi7kqLiIiJyidUIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokKd/BLTvpJWSbpZ0lpJF5T2gyRdK+nH5fbAlm3Ok7RO0p2Sju/lA4iIiF11cuS+HXiZ7efR/Bj2CZJeBJwLrLA9G1hR7iNpDjAfOBI4Abi4/IpTRETsJmOGuxvbyt29yz8D84AlpX0JcHJZngcstb3d9npgHQ//eHZEROwGHc25S5oiaQ2wFbjW9g3AIbY3A5Tbg0v36cDdLZsPlLbhYy6UtFrS6sHBwS4eQkREDNdRuNveaXsuMAM4WtJzR+mudkO0GXOx7X7b/X19fR0VGxERnRnX1TK2HwBW0sylb5E0DaDcbi3dBoCZLZvNADZ1W2hERHSuk6tl+iQ9rSw/CTgO+BGwHFhQui0ArirLy4H5kvaRdDgwG1g1yXVHRMQo9uqgzzRgSbni5QnAMttXS/oesEzSWcBG4DQA22slLQNuB3YAZ9ve2ZvyIyKinTHD3fYtwPPbtN8HHDvCNouARV1XFxERE9LJkXtEdGnWuV99tEuIPdSGC0/qybj5+oGIiAol3CMiKpRwj4ioUMI9IqJCCfeIiAol3CMiKpRwj4ioUMI9IqJCCfeIiAol3CMiKpRwj4ioUMI9IqJCCfeIiAol3CMiKpRwj4ioUCc/szdT0rcl3SFpraS3l/bzJd0jaU35d2LLNudJWifpTknH9/IBRETErjr5sY4dwDm2b5K0P3CjpGvLuo/Z/khrZ0lzgPnAkcChwDclPTM/tRcRsfuMeeRue7Ptm8ryQ8AdwPRRNpkHLLW93fZ6YB1w9GQUGxERnRnXnLukWTS/p3pDaXqLpFskXSLpwNI2Hbi7ZbMB2rwZSFooabWk1YODg+OvPCIiRtRxuEvaD/gi8A7bDwKfAI4A5gKbgYuGurbZ3Ls02Itt99vu7+vrG2/dERExio7CXdLeNMH+OdtfArC9xfZO278GPsXDUy8DwMyWzWcAmyav5IiIGEsnV8sI+DRwh+2PtrRPa+l2CnBbWV4OzJe0j6TDgdnAqskrOSIixtLJ1TIvAc4EbpW0prS9FzhD0lyaKZcNwJsAbK+VtAy4neZKm7NzpUxExO41Zrjb/g7t59G/Nso2i4BFXdQVERFdyCdUIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokKd/BLTTEnflnSHpLWS3l7aD5J0raQfl9sDW7Y5T9I6SXdKOr6XDyAiInbVyZH7DuAc288BXgScLWkOcC6wwvZsYEW5T1k3HzgSOAG4WNKUXhQfERHtjRnutjfbvqksPwTcAUwH5gFLSrclwMlleR6w1PZ22+uBdTz849kREbEbjGvOXdIs4PnADcAhtjdD8wYAHFy6TQfubtlsoLQNH2uhpNWSVg8ODk6g9IiIGEnH4S5pP+CLwDtsPzha1zZt3qXBXmy733Z/X19fp2VEREQHOgp3SXvTBPvnbH+pNG+RNK2snwZsLe0DwMyWzWcAmyan3IiI6EQnV8sI+DRwh+2PtqxaDiwoywuAq1ra50vaR9LhwGxg1eSVHBERY9mrgz4vAc4EbpW0prS9F7gQWCbpLGAjcBqA7bWSlgG301xpc7btnZNdeEREjGzMcLf9HdrPowMcO8I2i4BFXdQVERFdyCdUIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokKd/BLTJZK2Srqtpe18SfdIWlP+ndiy7jxJ6yTdKen4XhUeEREj6+TI/VLghDbtH7M9t/z7GoCkOcB84MiyzcWSpkxWsRER0Zkxw932dcD9HY43D1hqe7vt9cA64Ogu6ouIiAnoZs79LZJuKdM2B5a26cDdLX0GSltEROxGEw33TwBHAHOBzcBFpb3db6263QCSFkpaLWn14ODgBMuIiIh2JhTutrfY3mn718CneHjqZQCY2dJ1BrBphDEW2+633d/X1zeRMiIiYgQTCndJ01rungIMXUmzHJgvaR9JhwOzgVXdlRgREeO111gdJF0BHANMlTQA/BVwjKS5NFMuG4A3AdheK2kZcDuwAzjb9s6eVB4RESMaM9xtn9Gm+dOj9F8ELOqmqIiI6E4+oRoRUaGEe0REhRLuEREVSrhHRFQo4R4RUaGEe0REhRLuEREVSrhHRFQo4R4RUaGEe0REhRLuEREVSrhHRFQo4R4RUaGEe0REhRLuEREVSrhHRFRozHCXdImkrZJua2k7SNK1kn5cbg9sWXeepHWS7pR0fK8Kj4iIkXVy5H4pcMKwtnOBFbZnAyvKfSTNAeYDR5ZtLpY0ZdKqjYiIjowZ7ravA+4f1jwPWFKWlwAnt7Qvtb3d9npgHXD05JQaERGdmuic+yG2NwOU24NL+3Tg7pZ+A6VtF5IWSlotafXg4OAEy4iIiHYm+w+qatPmdh1tL7bdb7u/r69vksuIiHh8m2i4b5E0DaDcbi3tA8DMln4zgE0TLy8iIiZiouG+HFhQlhcAV7W0z5e0j6TDgdnAqu5KjIiI8dprrA6SrgCOAaZKGgD+CrgQWCbpLGAjcBqA7bWSlgG3AzuAs23v7FHtERExgjHD3fYZI6w6doT+i4BF3RQVERHdySdUIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokIJ94iICiXcIyIqlHCPiKhQwj0iokJjfp/7aCRtAB4CdgI7bPdLOgi4EpgFbABOt/2z7sqMiIjxmIwj9z+yPdd2f7l/LrDC9mxgRbkfERG7US+mZeYBS8ryEuDkHuwjIiJG0W24G/iGpBslLSxth9jeDFBuD263oaSFklZLWj04ONhlGRER0aqrOXfgJbY3SToYuFbSjzrd0PZiYDFAf3+/u6wjIiJadHXkbntTud0KfBk4GtgiaRpAud3abZERETE+Ew53SU+RtP/QMvBy4DZgObCgdFsAXNVtkRERMT7dTMscAnxZ0tA4l9u+RtIPgGWSzgI2Aqd1X2ZERIzHhMPd9l3A89q03wcc201RERHRnXxCNSKiQgn3iIgKJdwjIiqUcI+IqFDCPSKiQgn3iIgKJdwjIiqUcI+IqFDCPSKiQgn3iIgKJdwjIiqUcI+IqFDCPSKiQgn3iIgKJdwjIiqUcI+IqFDPwl3SCZLulLRO0rm92k9EROyqJ+EuaQrwL8ArgDnAGZLm9GJfERGxq14duR8NrLN9l+3/BywF5vVoXxERMUw3P5A9munA3S33B4AXtnaQtBBYWO5uk3Rnj2p5vJkK3PtoF7Gn0N892hVEG3mNtujyNXrYSCt6Fe5q0+ZH3LEXA4t7tP/HLUmrbfc/2nVEjCSv0d2jV9MyA8DMlvszgE092ldERAzTq3D/ATBb0uGSngjMB5b3aF8RETFMT6ZlbO+Q9Bbg68AU4BLba3uxr9hFprpiT5fX6G4g22P3ioiIx5R8QjUiokIJ94iICiXce0CSJV3Ucv9dks4fY5uTd/eneCV9TdLTJmGc8yW9axJKij2QpPdJWivpFklrJL1w7K3GHPPVk/W1JJK2TcY4tUm498Z24FRJU8exzck0X9UwqcpXQbRl+0TbD0z2PqMekl4MvBL4Xdu/AxzHIz+gONq2I16wYXu57Qsnp8poJ+HeGztorgh45/AVkg6TtKIcBa2Q9HRJvwe8GviHcmR0xLBtTpN0m6SbJV1X2t4g6eMtfa6WdExZ3ibpQ5JuAN4raVlLv2MkfaUsb5A0VdLfSfqLlj7nSzqnLL9b0g9KvRe09Hlf+WK4bwLP6v4piz3UNOBe29sBbN9re9PQawdAUr+klWX5fEmLJX0D+IykGyQdOTSYpJWSjhp6/Uo6oIz1hLL+yZLulrS3pCMkXSPpRknXS3p26XO4pO+V1+Vf7+bn4zEj4d47/wK8TtIBw9o/DnymHAV9Dvhn29+l+RzAu23Ptf0fw7b5IHC87efRvAmM5SnAbbZfCHwYeJGkp5R1rwWuHNZ/aWkfcjrweUkvB2bTfFfQXOAoSX8o6Siazy48HzgVeEEHNcVj0zeAmZL+XdLFkl7awTZHAfNs/zHNa+t0AEnTgENt3zjU0fbPgZuBoXFfBXzd9q9oDpDeavso4F3AxaXPPwGfsP0C4KddP8JKJdx7xPaDwGeAtw1b9WLg8rJ8GfD7HQz3f4FLJf0ZzecGxrIT+GKpYwdwDfCqcpp8EnDVsFp/CBws6VBJzwN+Znsj8PLy74fATcCzacL+D4Av2/7P8jjzAbVK2d5GE9YLgUHgSklvGGOz5bZ/WZaXAaeV5dOBz7fpfyUPH1zML/vYD/g9moOMNcAnac4iAF4CXFGWLxvP43k86dV3y0TjH2lC8X+P0mfMDxrYfnP5I9ZJwBpJc2mmflrfnPdtWf4v2ztb7l8JnA3cD/zA9kNtdvMF4DXAb9EcbUHzHUEftv3J1o6S3tFJ3VGH8lpaCayUdCuwgEe+/vYdtskvWra9R9J9kn6HJsDf1GYXy4EPSzqI5o3kWzRnnw/YnjtSWRN7NI8fOXLvIdv30xy5nNXS/F2aoxOA1wHfKcsPAfu3G0fSEbZvsP1Bmm/TmwlsAOZKeoKkmTRTJyNZCfwu8GfsOiUzZGmp6zU0QQ/NJ4z/tBxFIWm6pIOB64BTJD1J0v40p9JRIUnPkjS7pWku8BOa199Rpe2/jTHMUuA9wAG2bx2+spwdrKKZbrna9s5yRrhe0mmlDpWzSmjOZFv/H4o2Eu69dxHNV5wOeRvwRkm3AGcCby/tS4F3S/rh8D+o0vyh9VZJt9EE6800L/D1wK3AR2jOENoqR15X0/x4ytUj9FlL8+Zyj+3Npe0bNFNI3ytHbF8A9rd9E82bxBqa6Z/rO3ge4rFpP2CJpNvLa3YOcD5wAfBPkq6nmQYczRdownjZKH2uBF7PIw8+XgecJelmYC0P/ybE24GzJf0AGP43rSjy9QMRERXKkXtERIUS7hERFUq4R0RUKOEeEVGhhHtERIUS7hERFUq4R0RU6P8D7DQnefe23zoAAAAASUVORK5CYII=\n","text/plain":"<Figure size 432x288 with 1 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"-0wome_M3fA-"},"cell_type":"markdown","source":"### Next tease more structure out of the data,\n### Break the previous graph down by gender\n"},{"metadata":{"id":"35p8zc7s3fA_","trusted":true},"cell_type":"code","source":"fig = plt.figure(figsize=(18,6))\n\n# create a plot of two subsets, male and female, of the survived variable.\n# After that call value_counts() so it can be easily plotted as a bar graph. \n# you can use kind='barh' argument. It is just a horizontal bar graph\nsex = ['male', 'female']\nmales, females = [len(df[(df['Sex']==i)]) for i in sex]\n\nsurv_by_sex = dict()\nfor i in sex:\n    surv_by_sex[i] = len(df[(df['Survived']==1) & (df['Sex']==i)])\n\n# Next adjust graph to display the proportions of survival by gender\nbars1 = [surv_by_sex.get('male'), surv_by_sex.get('female')]\nbars2 = [males-bars1[0], females-bars1[1]]\n \n# Heights of bars1 + bars2\nbars = np.add(bars1, bars2).tolist()\n \n# The position of the bars on the x-axis\nr = [0,1]\n \n# Names of group and bar width\nnames = ['Males','Females']\nbarWidth = 1\n \n# Create brown bars\na = plt.bar(r, bars1, color='#7f6d5f', edgecolor='white', width=barWidth)\n# Create green bars (middle), on top of the first ones\nb = plt.bar(r, bars2, bottom=bars1, color='#557f2d', edgecolor='white', width=barWidth)\n\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by sex')\nplt.legend((a, b), ('survived', 'not survived'))\n# Show graphic\nplt.show()","execution_count":10,"outputs":[{"data":{"image/png":"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\n","text/plain":"<Figure size 1296x432 with 1 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"sBEcGFBI3fBA"},"cell_type":"markdown","source":"Add your summaryabout recieved data for raw value counts and proportionally\n\n#### Try to go down even further:\nCan we capture more of the structure by using Pclass? Here try to bucket classes as lowest class or any of the high classes (classes 1 - 2). 3 is lowest class. Break it down by Gender and what Class they were traveling in.\n"},{"metadata":{"id":"r4jXC0wM3fBA","trusted":true},"cell_type":"code","source":"# distribution of men and women in the third class\nthird_class_by_sex = dict()\nfor i in sex:\n    third_class_by_sex[i] = len(df[(df['Sex']==i) & (df['Pclass']==3)])\n    \ngenders = [males, females]\n#print(genders)\n\n# distribution of men and women in the 1-2 classes\nhigh_classes_by_sex = dict()\nfor i in range(2):\n    high_classes_by_sex[sex[i]] = genders[i] - third_class_by_sex.get(sex[i])\n#print(third_class_by_sex, high_classes_by_sex)\n\n# the number of survivors in the third class by sex\nsurv_third_class = dict()\nfor i in sex:\n    surv_third_class[i] = len(df[(df['Survived']==1) & (df['Pclass']==3) & (df['Sex']==i)])\n#print(surv_third_class)\n\n# the number of survivors in the 1-2 classes by sex\nsurv_high_classes = dict()\nfor i in sex:\n    surv_high_classes[i] = surv_by_sex.get(i) - surv_third_class.get(i)\n#print(surv_high_classes)\n\n\nfig = plt.figure(figsize=(10, 10))\nnames = ['Males','Females']\n\n# Number of male and female survivors by class\nplt.subplot2grid((2,2), (0, 0), colspan=2)\n\ndef plot_bars(bars1, bars2):\n    a = plt.bar(r, bars1, color='#7f6d5f', edgecolor='white', width=barWidth)\n    b = plt.bar(r, bars2, bottom=bars1, color='#557f2d', edgecolor='white', width=barWidth)\n    return [a, b]\n\nbars1 = [surv_third_class.get('male'), surv_third_class.get('female')]\nbars2 = [surv_high_classes.get('male'), surv_high_classes.get('female')]\n\na, b = plot_bars(bars1, bars2)\n\nplt.title('General statistics of survivors by sex')\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by class and sex')\nplt.legend((a, b), ('high classes', 'third class'))\n\n\n# Number of male and female survivors in the third class\nplt.subplot2grid((2,2), (1, 0))\n\nbars1 = [surv_third_class.get('male'), surv_third_class.get('female')]\nbars2 = [third_class_by_sex.get('male')-surv_third_class.get('male'),third_class_by_sex.get('female')-surv_third_class.get('female')]\n\na, b = plot_bars(bars1, bars2)\n\nplt.title('Third class statistics')\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by sex in third class')\nplt.legend((a, b), ('survived', 'not survived'))\n\n\n# Number of male and female survivors in the high classes\nplt.subplot2grid((2,2), (1, 1))\nbars1 = [surv_high_classes.get('male'), surv_high_classes.get('female')]\nbars2 = [high_classes_by_sex.get('male')-surv_high_classes.get('male'),high_classes_by_sex.get('female')-surv_high_classes.get('female')]\n\na, b = plot_bars(bars1, bars2)\n\nplt.title('High classes statistics')\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by sex in high classes')\nplt.legend((a, b), ('survived', 'not survived'))","execution_count":12,"outputs":[{"data":{"text/plain":"<matplotlib.legend.Legend at 0x7fe52c3e7cf8>"},"execution_count":12,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":"<Figure size 720x720 with 3 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"yEZPJBNqFWfq"},"cell_type":"markdown","source":"Try to get a conclusions of the recieved data"},{"metadata":{"id":"XrSaN1KQ3fn1"},"cell_type":"markdown","source":""},{"metadata":{"id":"yuV-b-Jvt1PI"},"cell_type":"markdown","source":"## Model train and evaluation\n\n\nFor all model at the end, additionaly generate:\nNormalized Confusion matrix as:\n```\n\t\t                 Predicted\n                     Survive\tNon-Survive\nActual    Survive        0.7       0.3\n          Non-Survive    0.2       0.8\n```\nAnd metrics:\n```\n          Metrics\nRecall    0.2232\nPrecision 0.0597\nAccuracy  0.2100\nF1 score  0.0398\n```"},{"metadata":{"id":"7MLXksFt3fBD"},"cell_type":"markdown","source":"## Supervised Machine Learning\n#### Logistic Regression:\n\n\n\nTask is to predict a binary outcome. That is, it wants to know whether some will die, (represented as a 0), or survive, (represented as 1). A good place to start is to calculate the probability that an individual observation, or person, is likely to be a 0 or 1. That way we would know the chance that someone survives, and could start making somewhat informed predictions. If we did, we'd get results like this:: \n\n![pred](https://raw.github.com/agconti/kaggle-titanic/master/images/calc_prob.png) \n\n(*Y axis is the probability that someone survives, X axis is the passenger’s number from 1 to 891.*)\n\nWhile that information is useful it doesn’t let us know whether someone ended up alive or dead. It just lets us know the chance that they will survive or die. We still need to translate these probabilities into the binary decision we’re looking for. But how? We could arbitrarily say that our survival cutoff is anyone with a probability of survival over 50%. In fact, this tactic would actually perform pretty well for our data and would allow you to make decently accurate predictions. Graphically it would look something like this:\n\n![predwline](https://raw.github.com/agconti/kaggle-titanic/master/images/calc_prob_wline.png)\n\nWhat are the odds that setting that cutoff at 50% works? Maybe 20% or 80% would work better. Clearly we need a more exact way to make that cutoff. What can save the day? In steps the **Logistic Regression**. \n\nA logistic regression follows the all steps we took above but mathematically calculates the cutoff, or decision boundary (as stats nerds call it), for you. This way it can figure out the best cut off to choose, perhaps 50% or 51.84%, that most accurately represents the training data.\n\nBelow, write down the process of creating a Logitist regression model with `LogisticRegression`, training it on the data, and examining its performance."},{"metadata":{"id":"deeYakrn3fBF","trusted":true},"cell_type":"code","source":"# instantiate and fit our model to the training data\nfrom sklearn.model_selection import train_test_split\ndf['Sex'] = df.Sex.apply(lambda x: 0 if x==\"female\" else 1)\ndf['Embarked_C'] = df.Embarked.apply(lambda x: 1 if x=='C' else 0)\ndf['Embarked_Q'] = df.Embarked.apply(lambda x: 1 if x=='Q' else 0)\ndf['Embarked_S'] = df.Embarked.apply(lambda x: 1 if x=='S' else 0)\nfeatures = ['Pclass', 'Sex', 'Age', 'SibSp', 'Parch', 'Fare', 'Embarked_C', 'Embarked_Q', 'Embarked_S']\n\nX = df[features]\ny = df['Survived']\n\nmodels = list()\n\nlogreg = LogisticRegression()\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=5)\nlogreg.fit(X_train, y_train)\ny_pred = logreg.predict(X_test)\nmodels.append(logreg)\nprint(classification_report(y_test, y_pred))","execution_count":13,"outputs":[{"name":"stdout","output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.87      0.87      0.87        93\n           1       0.76      0.76      0.76        50\n\n    accuracy                           0.83       143\n   macro avg       0.82      0.82      0.82       143\nweighted avg       0.83      0.83      0.83       143\n\n"}]},{"metadata":{"id":"eqP3heYQ3fBF","trusted":true},"cell_type":"code","source":"# Plot Predictions Vs Actual\nplot_confusion_matrix(logreg, X_test, y_test)  \nplt.show()","execution_count":14,"outputs":[{"data":{"image/png":"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\n","text/plain":"<Figure size 432x288 with 2 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"5DKw49Rr3fBL"},"cell_type":"markdown","source":"### Support Vector Machine (SVM)\n\n\nThe logit model showed exactly where to draw our decision boundary or our 'survival cut off'. A linear line is okay, but can prediction be better? Perhaps a more complex decision boundary like a wave, circle, or maybe some sort of strange polygon would describe the variance observed in our sample better than a line.\n\nBelow implement a SVM model based on `sklearn.svm.SVC` and examining the results after the SVM transforms an equation into three different mathematical plains. The first is linear, and is similar to our logic model. Next is an exponential, polynomial, transformation and finally a blank transformation.\n"},{"metadata":{"id":"2XU5FihKRakX","trusted":true},"cell_type":"code","source":"svm = SVC(probability=True)\n\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=5)\nsvm.fit(X_train, y_train)\ny_pred = svm.predict(X_test)\nmodels.append(svm)\nprint(classification_report(y_test, y_pred))\nplot_confusion_matrix(svm, X_test, y_test)  \nplt.show()","execution_count":15,"outputs":[{"name":"stdout","output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.72      0.93      0.81       114\n           1       0.74      0.36      0.48        64\n\n    accuracy                           0.72       178\n   macro avg       0.73      0.64      0.65       178\nweighted avg       0.73      0.72      0.69       178\n\n"},{"data":{"image/png":"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\n","text/plain":"<Figure size 432x288 with 2 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"BwJyqyhF3fBN"},"cell_type":"markdown","source":"### Random Forest\n\nthe Random Forest technique is a form of non-parametric modeling that does away with all those equations created above, and uses raw computing power and a clever statistical observation to tease the structure out of the data. \n\n**How do they work?** A random forest algorithm randomly generates many extremely simple models to explain the variance observed in random subsections of our data. These models are like appraisal guesses. They are all awful individually. Really awful. But once they are averaged, they can be powerful predictive tools. The averaging step is the secret sauce. While the vast majority of those models were extremely poor; they were all as bad as each other on average. So when their predictions are averaged together, the bad ones average their effect on our model out to zero. The thing that remains, *if anything*, is one or a handful of those models have stumbled upon the true structure of the data.\n\nBelow implement your model of random forest with `RandomForestClassifier`, generating predictions form the resulting model, and then scoring the results."},{"metadata":{"id":"ekx9kVAOTOKk","trusted":true},"cell_type":"code","source":"rand_forest = RandomForestClassifier()\n\nrand_forest.fit(X_train, y_train)\ny_pred = rand_forest.predict(X_test)\nmodels.append(rand_forest)\nprint(classification_report(y_test, y_pred))\nplot_confusion_matrix(rand_forest, X_test, y_test)  \nplt.show()","execution_count":16,"outputs":[{"name":"stdout","output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.88      0.86      0.87       114\n           1       0.76      0.78      0.77        64\n\n    accuracy                           0.83       178\n   macro avg       0.82      0.82      0.82       178\nweighted avg       0.83      0.83      0.83       178\n\n"},{"data":{"image/png":"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\n","text/plain":"<Figure size 432x288 with 2 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"NT6kO9UQsQit"},"cell_type":"markdown","source":"# Additional tasks\n\n*   Plot ROC curve for implemented models\n*   Implement prediction using another model, such as the k-nearest neighbors algorithm, decision tree classifier, gaussian naive bayes, neural network etc. Or maybe try to use sklearn.model_selection.GridSearchCV based on already implemented models.\n\n\n\n"},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.tree import DecisionTreeClassifier\n\nclassifier = DecisionTreeClassifier(random_state=0)\nclassifier.fit(X_train, y_train)\ny_pred = classifier.predict(X_test)\nmodels.append(classifier)\nprint(classification_report(y_test, y_pred))\nplot_confusion_matrix(classifier, X_test, y_test)  \nplt.show()","execution_count":17,"outputs":[{"name":"stdout","output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.84      0.81      0.82       114\n           1       0.68      0.72      0.70        64\n\n    accuracy                           0.78       178\n   macro avg       0.76      0.76      0.76       178\nweighted avg       0.78      0.78      0.78       178\n\n"},{"data":{"image/png":"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\n","text/plain":"<Figure size 432x288 with 2 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.naive_bayes import GaussianNB\n\nnb = GaussianNB()\nnb.fit(X_train, y_train)\ny_pred = nb.predict(X_test)\nmodels.append(nb)\nprint(classification_report(y_test, y_pred))\nplot_confusion_matrix(nb, X_test, y_test)  \nplt.show()","execution_count":18,"outputs":[{"name":"stdout","output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.84      0.79      0.81       114\n           1       0.66      0.73      0.70        64\n\n    accuracy                           0.77       178\n   macro avg       0.75      0.76      0.76       178\nweighted avg       0.78      0.77      0.77       178\n\n"},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAATIAAAEKCAYAAACR79kFAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAZk0lEQVR4nO3de7xXdZ3v8dfbzU0R5M4gaqCRSZ68HFLJS95KtB5hHq/ZHGaGiZwyq6nOYM2xmeZhD+cxY8fKOsmYxRxNxbyAaQiSZJmj4J1LCgkiuuWOoiCw9/6cP35r40/c7N9a8LustXk/eazHb91+3/XZ8Ngfvt/v+q7vUkRgZlZk+zQ6ADOzPeVEZmaF50RmZoXnRGZmhedEZmaF50RmZoXnRGZmDSPpK5IWSFoo6avJvgGSZktaknz2r1SOE5mZNYSkI4HPA8cBRwGfkjQKmAzMiYhRwJxku1NOZGbWKEcA/xURmyOiBfgd8BlgPDA1OWcqcG6lgrrVKsLdMWhAU4w4uHujw7AMlvypX6NDsAy2tLzOttYt2pMyzjqtd6xb35rq3Cee3boQeLts15SImJKsLwCuljQQ2AKcA8wHhkZEM0BENEsaUuk6uUpkIw7uzuMPHNzoMCyDT544vtEhWAZ/XHnzHpexbn0rjz9wSKpzm4YteTsixnR0LCIWS/pXYDbwJvAM0LI7MblpaWaZBNCW8k/FsiJ+FhHHRsQpwHpgCbBK0jCA5HN1pXJyVSMzs/wLgu2RrmlZiaQhEbFa0iHAecBYYCQwAbgm+ZxeqRwnMjPLLE1tK6U7kz6y7cCXImKDpGuAaZImAiuACyoV4kRmZpkEQWuVpv+KiJM72LcOOCNLOU5kZpZZG/max9CJzMwyCaDViczMis41MjMrtAC252yKfCcyM8skCDctzazgAlrzlcecyMwsm9LI/nxxIjOzjEQre/TcedU5kZlZJqXOficyMyuw0jgyJzIzK7g218jMrMhcIzOzwgtEa86mMnQiM7PM3LQ0s0ILxLZoanQY7+JEZmaZlAbEumlpZgXnzn4zK7QI0RqukZlZwbW5RmZmRVbq7M9X6shXNGaWe3ns7M9XNGZWCK2hVEslkr4maaGkBZJuldRL0gBJsyUtST77VyrHiczMMmkf2Z9m6Yyk4cAVwJiIOBJoAi4GJgNzImIUMCfZ7pQTmZll1hb7pFpS6AbsK6kbsB/wKjAemJocnwqcm6YQM7PUSg+Np64DDZI0v2x7SkRMAYiIVyT9O6W3iW8BZkXELElDI6I5OadZ0pBKF3EiM7NMArE9/SNKayNiTEcHkr6v8cBIYCNwh6TP7U5MTmRmlkkE1RoQeyawLCLWAEi6C/gosErSsKQ2NgxYXakg95GZWUaiLeVSwQrgBEn7SRJwBrAYmAFMSM6ZAEyvVJBrZGaWSVCdGllEPCbpV8CTQAvwFDAF2B+YJmkipWR3QaWynMjMLLNqTawYEd8BvrPT7q2UamepOZGZWSaBPLGimRVb6XVw+Uod+YrGzArAL+g1s4ILSDtqv26cyMwsM9fIzKzQIuQamZkVW6mz329RMrNC85z9ZlZwpc5+95GZWcFVa2R/tTiRmVkmHtlvZl1C3l4+4kRmZplEwPY2JzIzK7BS09KJzMwKziP7u7i7bxzEb24ZSAScfel6zvv8Gt7Y0MT3LhvBqpU9GHrQNr59w3L69GttdKgGDBqyha//7yfpP2ArbSFmTn8fM+44dMfx8y5ZysTLF3HJOWfxxus9GxhpfuRx+EVN64eSxkl6XtJSSRXfTVd0y//Ui9/cMpAf3vcCP33weR6b3ZdXXuzBtOuHcMxJm/j5I4s55qRN3H59xZfCWJ20toobf/QhLrv0dL4+6WQ+dd4yDh6xCSgluaM/sobVr+3b4CjzRtV8HVxV1OxKkpqAHwNnA6OBSySNrtX18mDFkp4ccexmeu0XNHWDD499k0d+049HHziAMy9cD8CZF67n0ZkHNDhSa7dhXS/+/EI/ALZs7sbLL/Vh4OAtAHz+igX8/CejiWhggDlVpTn7q6aWKfM4YGlEvBgR24DbKL36qcsa8cG3ee6x3ryxvom3N4t5v+3Lmle7s2FtdwYObQFg4NAWNq5ziz6PhvzFZg4d9TrPL+zP8Se9xro1vVi21P/p7Kx017Ip1VIvtfyNGg68XLa9Ejh+55MkTQImARwyvNi/4IeM2sqFX1zNlRcfRq/ebYwcvYWmbv7vvAh67dvCt6+ex3/88EO0tYqL/ucL/OPXxjY6rFzK44DYWtbIOvpJ3/NbHRFTImJMRIwZPDBfT9TvjnGfXc+PZ73AtXcvpU+/VoaP3Er/QdtZt6qUpNet6ka/gS0NjtLKNTW18a2r5/HQrIP44+8O5C+Gb2bogZu5fupcbvrVbAYNfpsf3PQw/Qe83ehQcyNvTctaVoFWAgeXbR8EvFrD6+XCxrXd6DeohdUru/PI/Qdw3b1LeG1FTx6cNoCLvryaB6cNYOxZrzc6TNsh+MqVT/PyS3245/bDAHjpxb5c+qlxO8646Vez+erEU3zXMlGtu5aSDgduL9t1KHAV8J/J/hHAcuDCiNjQWVm1TGTzgFGSRgKvABcDn63h9XLhu387gk0butHUPbj8eyvp06+Viy5fxdWXjWDmbQMZMrw0/MLyYfSH13PG2StZtrQPP/rFXACm3nAE8x8d2tjAcq4adyQj4nngaNhxc/AV4G5gMjAnIq5JRjtMBv6hs7JqlsgiokXS5cADQBNwU0QsrNX18uL79yx9z76+A1r512l/bkA0VsmiZwfyyRM/3ek5f3P+x+sUTTFEiJbqD604A/hzRLwkaTxwarJ/KjCXRiUygIi4H7i/ltcws/rL0LQcJGl+2faUiJjSwXkXA7cm60MjohkgIpolVRx4WezbhGZWdxn7yNZGxJjOTpDUA/g0cOXuxuREZmaZVXn4xdnAkxGxKtleJWlYUhsbBqyuVEC+HmE3s9xrH0eWZknpEt5pVgLMACYk6xOA6ZUKcI3MzDKr1hgxSfsBHwe+ULb7GmCapInACuCCSuU4kZlZJhHQUqWJFSNiMzBwp33rKN3FTM2JzMwyy9sjSk5kZpZJHp+1dCIzs8zCiczMiq6eD4Sn4URmZplEuI/MzApPtPp1cGZWdO4jM7NCy+NblJzIzCybIHcvZHEiM7PMfNfSzAot3NlvZl2Bm5ZmVni+a2lmhRbhRGZmXYCHX5hZ4bmPzMwKLRBtvmtpZkWXswqZE5mZZeTOfjPrEnJWJXMiM7PMClMjk/QjOsm7EXFFTSIys1wLoK2taq+D6wfcCByZFP03wPPA7cAIYDlwYURs6Kyczmpk86sQp5l1NQFUr0b2A2BmRJwvqQewH/AtYE5EXCNpMjAZ+IfOCtllIouIqeXbknpHxFt7HreZFV01xpFJ6gucAvxVqczYBmyTNB44NTltKjCXComs4mAQSWMlLQIWJ9tHSfrJbsZuZl1BpFxgkKT5ZcukslIOBdYAP5f0lKQbJfUGhkZEM0DyOaRSOGk6+68DzgJmJAU/I+mUFN8zsy5JWTr710bEmF0c6wYcC3w5Ih6T9ANKzcjMUg3PjYiXd9rVujsXM7MuIn2NrDMrgZUR8Viy/StKiW2VpGEAyefqSgWlSWQvS/ooEJJ6SPoGSTPTzPZCAdGmVEunxUS8Rim/HJ7sOgNYRKn1NyHZNwGYXimkNE3LyyjdWRgOvAI8AHwpxffMrMuq2l3LLwO3JHcsXwT+mlIFa5qkicAK4IJKhVRMZBGxFrh0z2I1sy6lSiP7I+JpoKM+tDOylJPmruWhku6VtEbSaknTJR2a5SJm1sVUp4+satL0kf0SmAYMAw4E7gBurWVQZpZj7QNi0yx1kiaRKSL+X0S0JMvN5O6RUTOrp4h0S7109qzlgGT1oeQxgdsoJbCLgPvqEJuZ5VWVnrWsls46+5+glLjaI/5C2bEA/qVWQZlZvilnbbLOnrUcWc9AzKwg6tyRn0aq+cgkHQmMBnq174uI/6xVUGaWZ/XtyE+jYiKT9B1KT6KPBu4Hzgb+ADiRme2tclYjS3PX8nxKg9Nei4i/Bo4CetY0KjPLt7aUS52kaVpuiYg2SS3J/EGrKU2/YWZ7o+pOrFgVaRLZ/GQ62v+gdCfzTeDxWgZlZvlWmLuW7SLii8nqTyXNBPpGxLO1DcvMcq0oiUzSsZ0di4gnaxOSmVk2ndXIru3kWACnVzkWXnh2P8468OhqF2s1tPLK4Y0OwTLYdlP3qpRTmKZlRJxWz0DMrCCCQj2iZGbWsaLUyMzMdqUwTUszs13KWSJLM0OsJH1O0lXJ9iGSjqt9aGaWWwWcIfYnwFjgkmR7E/DjmkVkZrmmSL/US5qm5fERcaykpwAiYkPyxhMz21tV6a6lpOWUKketQEtEjEkmdb0dGAEsBy6MiA2dlZOmRrZdUhNJRVHSYOr6OKiZ5U2Va2SnRcTRZW8knwzMiYhRwBxSvH08TSL7IXA3METS1ZSm8Ple6hDNrOupbR/ZeGBqsj4VOLfSF9I8a3mLpCcoTeUj4NyI8JvGzfZW1e3/CmCWpABuiIgpwNCIaAaIiGZJQyoVkmZixUOAzcC95fsiYsVuh25mxZY+kQ2SNL9se0qSrNqdGBGvJslqtqQ/7U44aTr77+Odl5D0AkYCzwMf2p0LmlnxKX0v+dqyvq/3iIhXk8/Vku4GjgNWSRqW1MaGUZoDsVMV+8gi4r9FxIeTz1HJhf6Q+scwM+uApN6S+rSvA58AFgAzgAnJaROA6ZXKyjyyPyKelPSRrN8zsy6kOn1kQ4G7JUEpF/0yImZKmgdMkzQRWAFcUKmgNH1kf1+2uQ9wLLBmd6I2sy6gSp39EfEipXeA7Lx/HaWbi6mlqZH1KVtvodRndmeWi5hZF5OzZy07TWTJQNj9I+KbdYrHzIqgKIlMUreIaOlsymsz2/uITHct66KzGtnjlPrDnpY0A7gDeKv9YETcVePYzCyP6vxAeBpp+sgGAOsozdHfPp4sACcys71VgRLZkOSO5QLeSWDtcvZjmFld5SwDdJbImoD9eXcCa5ezH8PM6qlITcvmiPhu3SIxs+IoUCLL1/uezCwfolh3LTONrDWzvUhRamQRsb6egZhZcRSpj8zMrGNOZGZWaHV+1VsaTmRmlolw09LMugAnMjMrPicyMys8JzIzK7SCzn5hZvZuTmRmVnRFekTJzKxDeWtaVnyvpZnZu0SGJQVJTZKekvTrZHuApNmSliSf/SuV4URmZtlVMZEBXwEWl21PBuYkLwSfk2x3yonMzDJpH9mfZqlYlnQQ8EngxrLd44GpyfpU4NxK5biPzMwyU1vq6tYgSfPLtqdExJSy7euA/8W73587NCKaASKiWdKQShdxIjOzbLI1G9dGxJiODkj6FLA6Ip6QdOqehOREZmaZVemu5YnApyWdA/QC+kq6GVglaVhSGxsGrK5UkPvIzCy7KnT2R8SVEXFQRIwALgZ+GxGfA2YAE5LTJgDTK4XjGpmZZVbjcWTXANMkTQRWABdU+oITmZllV+VEFhFzgbnJ+joyvjPEiczMsinYW5TMzN7DM8SaWdcQ+cpkTmRmlplrZF3c339/BcefuYmNa7vxhdMPB+BbP13OQYdtBaB331beeqOJL3788EaGaTvZR21Mu+hOVr3Zmy/9+hz+fdwsRvbbCECfntvYtLUH/+O2CxsbZF7sTW9RknQT0D5y98haXSdvZt0+gBk/H8Q3f/Dyjn3fu2zEjvVJV73KW5s8fC9v/vKo53hxfT9699gOwDdmfmLHsW+e9Efe3NqjUaHlUt46+2v5G/ULYFwNy8+lBY/tz6YNu/r/ITjl0xt56J6Ks5JYHQ3t/SanjHiJOxcd0cHR4Kz3L+W+F95f97jyTG3plnqpWSKLiIeB9bUqv4iOPP4tNqzpxqvLejY6FCsz+ZRHuPaRsbSF3nPsvx/YzLrN+7Hi9X71DyyvglJnf5qlThrexpE0SdJ8SfO3s7XR4dTUaeduZO49/RodhpX52IjlrN+8L4vWDO7w+DkfWML9S1wb21m1pvGploZ39idTekwB6KsBOetCrJ59moITz3mdy8eNanQoVuaYYa9x6qHLOXnECno2tdC7x3au+fiDTJ59Jk1q48zDlnHhbec3Osz8ydlvasMT2d7i2JM38fLSnqxtdqdxnlz36Alc9+gJAHxk+Cv81THPMHn2mQCMPXglyzb0Y9Vb+zcyxNzJ44DYhjctu5rJP3mJ/3PvEg467G1unr+Isy5ZB8DHxrtZWTRnf2Ap97/gGvR7RKC2dEu91HL4xa3AqZRmiFwJfCciflar6+XFNV98X4f7r/3aIXWOxLKa98pw5r0yfMf2tx88vYHR5FzOamQ1S2QRcUmtyjazxspb09J9ZGaWTQB1bDam4URmZtnlK485kZlZdm5amlnh1fOOZBpOZGaWzd40+4WZdU2lAbH5ymROZGaW3V40jY+ZdVGKSLV0WobUS9Ljkp6RtFDSPyf7B0iaLWlJ8llx3isnMjPLJu3LeSu3PrcCp0fEUcDRwDhJJwCTgTkRMQqYk2x3yonMzDKqzrOWUfJmstk9WQIYD0xN9k8Fzq0UkROZmWWXfmLFQe3zDSbLpPJiJDVJehpYDcyOiMeAoRHRXLpMNANDKoXjzn4zyybbC3rXRsSYXRYV0QocLakfcLek3Xq/h2tkZpZdlae6joiNwFxK7/lYJWkYQPK5utL3ncjMLLsqdPZLGpzUxJC0L3Am8CdgBjAhOW0CML1SOG5amllmaqvKQLJhwFRJTZQqVdMi4teSHgWmSZoIrAAuqFSQE5mZZRNUZUBsRDwLHNPB/nXAGVnKciIzs0xE5cGu9eZEZmbZOZGZWeE5kZlZoVWpj6yanMjMLLMq3bWsGicyM8so22DXenAiM7NsAicyM+sC8tWydCIzs+w8jszMis+JzMwKLQJa89W2dCIzs+xcIzOzwnMiM7NCC8BvGjezYgsI95GZWZEF7uw3sy7AfWRmVnhOZGZWbH5o3MyKLgBP42NmhZezGpnfa2lmGSWPKKVZOiHpYEkPSVosaaGkryT7B0iaLWlJ8tm/UkROZGaWTUBEW6qlghbg6xFxBHAC8CVJo4HJwJyIGAXMSbY75URmZtm1RbqlExHRHBFPJuubgMXAcGA8MDU5bSpwbqVw3EdmZtml7yMbJGl+2faUiJiy80mSRlB6We9jwNCIaC5dJpolDal0EScyM8smIstdy7URMaazEyTtD9wJfDUi3pCUOSQ3Lc0su4h0SwWSulNKYrdExF3J7lWShiXHhwGrK5XjRGZmGQXR2ppq6YxKVa+fAYsj4vtlh2YAE5L1CcD0ShG5aWlm2VRvGp8Tgb8EnpP0dLLvW8A1wDRJE4EVwAWVCnIiM7PsqjCNT0T8AdhVh9gZWcpyIjOzTAIIT6xoZoUWnljRzLqASh359abI0cOfktYALzU6jhoYBKxtdBCWSVf9N3tfRAzekwIkzaT095PG2ogYtyfXSyNXiayrkjS/0qBAyxf/mxWLx5GZWeE5kZlZ4TmR1cd7HpK13PO/WYG4j8zMCs81MjMrPCcyMys8J7IakjRO0vOSlkqqOF2vNZ6kmyStlrSg0bFYek5kNSKpCfgxcDYwGrgkmY/c8u0XQM0HcFp1OZHVznHA0oh4MSK2AbdRmovcciwiHgbWNzoOy8aJrHaGAy+Xba9M9plZlTmR1U5H8yx5rItZDTiR1c5K4OCy7YOAVxsUi1mX5kRWO/OAUZJGSuoBXExpLnIzqzInshqJiBbgcuABSi8enRYRCxsblVUi6VbgUeBwSSuTeeMt5/yIkpkVnmtkZlZ4TmRmVnhOZGZWeE5kZlZ4TmRmVnhOZAUiqVXS05IWSLpD0n57UNYvJJ2frN/Y2QPtkk6V9NHduMZySe95286u9u90zpsZr/VPkr6RNUbrGpzIimVLRBwdEUcC24DLyg8mM25kFhF/GxGLOjnlVCBzIjOrFyey4vo98P6ktvSQpF8Cz0lqkvRvkuZJelbSFwBUcr2kRZLuA4a0FyRprqQxyfo4SU9KekbSHEkjKCXMryW1wZMlDZZ0Z3KNeZJOTL47UNIsSU9JuoGOnzd9F0n3SHpC0kJJk3Y6dm0SyxxJg5N9h0mamXzn95I+WJW/TSu2iPBSkAV4M/nsBkwH/o5SbektYGRybBLwj8l6T2A+MBI4D5gNNAEHAhuB85Pz5gJjgMGUZuxoL2tA8vlPwDfK4vglcFKyfgiwOFn/IXBVsv5JSg/JD+rg51jevr/sGvsCC4CByXYAlybrVwHXJ+tzgFHJ+vHAbzuK0cvetXTbvfRnDbKvpKeT9d8DP6PU5Hs8IpYl+z8BfLi9/ws4ABgFnALcGhGtwKuSfttB+ScAD7eXFRG7mpfrTGC0tKPC1VdSn+Qa5yXfvU/ShhQ/0xWSPpOsH5zEug5oA25P9t8M3CVp/+TnvaPs2j1TXMO6OCeyYtkSEUeX70h+od8q3wV8OSIe2Om8c6g8jZBSnAOlLomxEbGlg1hSP/Mm6VRKSXFsRGyWNBfotYvTI7nuxp3/DszcR9b1PAD8naTuAJI+IKk38DBwcdKHNgw4rYPvPgp8TNLI5LsDkv2bgD5l582i9EA8yXlHJ6sPA5cm+84G+leI9QBgQ5LEPkipRthuH6C9VvlZ4A8R8QawTNIFyTUk6agK17C9gBNZ13MjsAh4MnmBxg2Uat53A0uA54D/C/xu5y9GxBpKfWx3SXqGd5p29wKfae/sB64AxiQ3Exbxzt3TfwZOkfQkpSbuigqxzgS6SXoW+Bfgv8qOvQV8SNITwOnAd5P9lwITk/gW4unDDc9+YWZdgGtkZlZ4TmRmVnhOZGZWeE5kZlZ4TmRmVnhOZGZWeE5kZlZ4/x/8gAJ73MWsmAAAAABJRU5ErkJggg==\n","text/plain":"<Figure size 432x288 with 2 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.metrics import roc_curve, roc_auc_score\nfrom sklearn import metrics\n\nfig = plt.figure(figsize=(10, 10))\n\nfor model in models:\n    y_pred_proba = model.predict_proba(X_test)[::,1]\n    fpr, tpr, _ = metrics.roc_curve(y_test,  y_pred_proba)\n    auc = metrics.roc_auc_score(y_test, y_pred_proba)\n    plt.plot(fpr, tpr, label = type(model).__name__+', auc='+str(auc.round(2)))\n    plt.legend(loc=4)\n\nplt.plot([0,1], [0,1], color='yellow', linestyle='--')    \nplt.title('ROC curves', fontweight='bold', fontsize=10)\nplt.xlabel('Flase Positive Rate', fontsize=8)\nplt.ylabel('True Positive Rate', fontsize=8)\nplt.show()","execution_count":19,"outputs":[{"data":{"image/png":"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\n","text/plain":"<Figure size 720x720 with 1 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]}],"metadata":{"colab":{"collapsed_sections":[],"name":"Titanic_template.ipynb","provenance":[]},"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.6.15","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":4}
\ No newline at end of file

From 6f21a11fc9a3dac066d60924f6fc10c53b79061d Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Fri, 4 Feb 2022 00:49:58 +0200
Subject: [PATCH 03/14] Create .gitkeep

---
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 1 file changed, 1 insertion(+)
 create mode 100644 Aleksei_Zavalnyi_task/task1/.gitkeep

diff --git a/Aleksei_Zavalnyi_task/task1/.gitkeep b/Aleksei_Zavalnyi_task/task1/.gitkeep
new file mode 100644
index 0000000..8b13789
--- /dev/null
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@@ -0,0 +1 @@
+

From db919d57cfd709a6d30c1fa90a680f05ba6662ea Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Fri, 4 Feb 2022 00:51:06 +0200
Subject: [PATCH 04/14] task1 update

---
 Aleksei_Zavalnyi_task/task1/Titanic.ipynb | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 Aleksei_Zavalnyi_task/task1/Titanic.ipynb

diff --git a/Aleksei_Zavalnyi_task/task1/Titanic.ipynb b/Aleksei_Zavalnyi_task/task1/Titanic.ipynb
new file mode 100644
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+{"cells":[{"metadata":{"id":"MMAXD2Bg3fAl"},"cell_type":"markdown","source":"### Kaggle Competition | Titanic Machine Learning from Disaster\n\n>The sinking of the RMS Titanic is one of the most infamous shipwrecks in history.  On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew.  This sensational tragedy shocked the international community and led to better safety regulations for ships.\n\n>One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew.  Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.\n\n>In this contest, we ask you to complete the analysis of what sorts of people were likely to survive.  In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.\n\n>This Kaggle Getting Started Competition provides an ideal starting place for people who may not have a lot of experience in data science and machine learning.\"\n\nFrom the competition [homepage](http://www.kaggle.com/c/titanic-gettingStarted).\n\n\n### Goal for this Notebook:\nMake a simple analysis of the Titanic disaster in Python using a full complement of PyData utilities.\n\n#### Required Libraries:\n* [NumPy](http://www.numpy.org/)\n* [IPython](http://ipython.org/)\n* [Pandas](http://pandas.pydata.org/)\n* [SciKit-Learn](http://scikit-learn.org/stable/)\n* [SciPy](http://www.scipy.org/)\n* [Matplotlib](http://matplotlib.org/)\n\n***The competition's website is located on [Kaggle.com](http://www.kaggle.com/c/titanic-gettingStarted).***"},{"metadata":{"id":"fQey2NMy3fAw","trusted":true},"cell_type":"code","source":"import matplotlib.pyplot as plt\n%matplotlib inline\nimport numpy as np\nimport pandas as pd\nimport seaborn as sns\nfrom sklearn.preprocessing import OneHotEncoder\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.svm import SVC\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import classification_report, accuracy_score, confusion_matrix\nimport warnings\nwarnings.filterwarnings(\"ignore\")","execution_count":1,"outputs":[]},{"metadata":{"id":"bhp18NQo3fAy"},"cell_type":"markdown","source":"### Data Handling\n#### Read data (training set) in using pandas:"},{"metadata":{"id":"J5LILRd_8NO5","trusted":true},"cell_type":"code","source":"df = pd.read_csv('train.csv')","execution_count":2,"outputs":[]},{"metadata":{"id":"n5eT1bfh3fA0"},"cell_type":"markdown","source":"Show an overview of our data: "},{"metadata":{"id":"YNTiYmrA3fA1","trusted":true},"cell_type":"code","source":"df","execution_count":3,"outputs":[{"output_type":"execute_result","execution_count":3,"data":{"text/plain":"     PassengerId  Survived  Pclass  \\\n0              1         0       3   \n1              2         1       1   \n2              3         1       3   \n3              4         1       1   \n4              5         0       3   \n..           ...       ...     ...   \n886          887         0       2   \n887          888         1       1   \n888          889         0       3   \n889          890         1       1   \n890          891         0       3   \n\n                                                  Name     Sex   Age  SibSp  \\\n0                              Braund, Mr. Owen Harris    male  22.0      1   \n1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                               Heikkinen, Miss. Laina  female  26.0      0   \n3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                             Allen, Mr. William Henry    male  35.0      0   \n..                                                 ...     ...   ...    ...   \n886                              Montvila, Rev. Juozas    male  27.0      0   \n887                       Graham, Miss. Margaret Edith  female  19.0      0   \n888           Johnston, Miss. Catherine Helen \"Carrie\"  female   NaN      1   \n889                              Behr, Mr. Karl Howell    male  26.0      0   \n890                                Dooley, Mr. Patrick    male  32.0      0   \n\n     Parch            Ticket     Fare Cabin Embarked  \n0        0         A/5 21171   7.2500   NaN        S  \n1        0          PC 17599  71.2833   C85        C  \n2        0  STON/O2. 3101282   7.9250   NaN        S  \n3        0            113803  53.1000  C123        S  \n4        0            373450   8.0500   NaN        S  \n..     ...               ...      ...   ...      ...  \n886      0            211536  13.0000   NaN        S  \n887      0            112053  30.0000   B42        S  \n888      2        W./C. 6607  23.4500   NaN        S  \n889      0            111369  30.0000  C148        C  \n890      0            370376   7.7500   NaN        Q  \n\n[891 rows x 12 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Ticket</th>\n      <th>Fare</th>\n      <th>Cabin</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>A/5 21171</td>\n      <td>7.2500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>PC 17599</td>\n      <td>71.2833</td>\n      <td>C85</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>STON/O2. 3101282</td>\n      <td>7.9250</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>113803</td>\n      <td>53.1000</td>\n      <td>C123</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>373450</td>\n      <td>8.0500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>886</th>\n      <td>887</td>\n      <td>0</td>\n      <td>2</td>\n      <td>Montvila, Rev. Juozas</td>\n      <td>male</td>\n      <td>27.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>211536</td>\n      <td>13.0000</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>887</th>\n      <td>888</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Graham, Miss. Margaret Edith</td>\n      <td>female</td>\n      <td>19.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>112053</td>\n      <td>30.0000</td>\n      <td>B42</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>888</th>\n      <td>889</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n      <td>female</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>2</td>\n      <td>W./C. 6607</td>\n      <td>23.4500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>889</th>\n      <td>890</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Behr, Mr. Karl Howell</td>\n      <td>male</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>111369</td>\n      <td>30.0000</td>\n      <td>C148</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>890</th>\n      <td>891</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Dooley, Mr. Patrick</td>\n      <td>male</td>\n      <td>32.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>370376</td>\n      <td>7.7500</td>\n      <td>NaN</td>\n      <td>Q</td>\n    </tr>\n  </tbody>\n</table>\n<p>891 rows × 12 columns</p>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(df.describe(), '\\n')\nprint('Data size: ', df.shape)","execution_count":4,"outputs":[{"output_type":"stream","text":"       PassengerId    Survived      Pclass         Age       SibSp  \\\ncount   891.000000  891.000000  891.000000  714.000000  891.000000   \nmean    446.000000    0.383838    2.308642   29.699118    0.523008   \nstd     257.353842    0.486592    0.836071   14.526497    1.102743   \nmin       1.000000    0.000000    1.000000    0.420000    0.000000   \n25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n75%     668.500000    1.000000    3.000000   38.000000    1.000000   \nmax     891.000000    1.000000    3.000000   80.000000    8.000000   \n\n            Parch        Fare  \ncount  891.000000  891.000000  \nmean     0.381594   32.204208  \nstd      0.806057   49.693429  \nmin      0.000000    0.000000  \n25%      0.000000    7.910400  \n50%      0.000000   14.454200  \n75%      0.000000   31.000000  \nmax      6.000000  512.329200   \n\nData size:  (891, 12)\n","name":"stdout"}]},{"metadata":{"id":"ad27EQkf3fA3"},"cell_type":"markdown","source":"### Learn more about the data:\n\nAbove is a summary of data contained in a `Pandas` `DataFrame`. Think of a `DataFrame` as a Python's super charged version of the workflow in an Excel table. As you can see the summary holds quite a bit of information. First, it lets us know we have 891 observations, or passengers, to analyze here.\n\nNext it shows us all of the columns in `DataFrame`. Each column tells us something about each of our observations, like their `name`, `sex` or `age`. These colunms  are called a features of our dataset. You can think of the meaning of the words column and feature as interchangeable for this notebook. \n\nAfter each feature it lets us know how many values it contains. While most of our features have complete data on every observation, like the `survived` feature here: \n\n    survived    891  non-null values \n\nsome are missing information, like the `age` feature: \n\n    age         714  non-null values \n\nThese missing values are represented as `NaN`s.\n\n### Take care of missing values:\nThe features `ticket` and `cabin` have many missing values and so can’t add much value to our analysis. To handle this we will drop them from the dataframe to preserve the integrity of our dataset. Drop waste features.\n\nAlso remove NaN values from each remaining column / feature.\n\nNow we have a clean and tidy dataset that is ready for analysis. \n\n"},{"metadata":{"id":"EMZbA3Aw3fA5","trusted":true},"cell_type":"code","source":"# Remove ticket and cabin features\ndf = df.drop(['Ticket', 'Cabin'], axis=1)\ndf","execution_count":5,"outputs":[{"output_type":"execute_result","execution_count":5,"data":{"text/plain":"     PassengerId  Survived  Pclass  \\\n0              1         0       3   \n1              2         1       1   \n2              3         1       3   \n3              4         1       1   \n4              5         0       3   \n..           ...       ...     ...   \n886          887         0       2   \n887          888         1       1   \n888          889         0       3   \n889          890         1       1   \n890          891         0       3   \n\n                                                  Name     Sex   Age  SibSp  \\\n0                              Braund, Mr. Owen Harris    male  22.0      1   \n1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                               Heikkinen, Miss. Laina  female  26.0      0   \n3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                             Allen, Mr. William Henry    male  35.0      0   \n..                                                 ...     ...   ...    ...   \n886                              Montvila, Rev. Juozas    male  27.0      0   \n887                       Graham, Miss. Margaret Edith  female  19.0      0   \n888           Johnston, Miss. Catherine Helen \"Carrie\"  female   NaN      1   \n889                              Behr, Mr. Karl Howell    male  26.0      0   \n890                                Dooley, Mr. Patrick    male  32.0      0   \n\n     Parch     Fare Embarked  \n0        0   7.2500        S  \n1        0  71.2833        C  \n2        0   7.9250        S  \n3        0  53.1000        S  \n4        0   8.0500        S  \n..     ...      ...      ...  \n886      0  13.0000        S  \n887      0  30.0000        S  \n888      2  23.4500        S  \n889      0  30.0000        C  \n890      0   7.7500        Q  \n\n[891 rows x 10 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Fare</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>7.2500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>71.2833</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.9250</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>53.1000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8.0500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>886</th>\n      <td>887</td>\n      <td>0</td>\n      <td>2</td>\n      <td>Montvila, Rev. Juozas</td>\n      <td>male</td>\n      <td>27.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>13.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>887</th>\n      <td>888</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Graham, Miss. Margaret Edith</td>\n      <td>female</td>\n      <td>19.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>888</th>\n      <td>889</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n      <td>female</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>2</td>\n      <td>23.4500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>889</th>\n      <td>890</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Behr, Mr. Karl Howell</td>\n      <td>male</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>890</th>\n      <td>891</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Dooley, Mr. Patrick</td>\n      <td>male</td>\n      <td>32.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.7500</td>\n      <td>Q</td>\n    </tr>\n  </tbody>\n</table>\n<p>891 rows × 10 columns</p>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Remove NaN values\ndf = df.dropna()\ndf","execution_count":6,"outputs":[{"output_type":"execute_result","execution_count":6,"data":{"text/plain":"     PassengerId  Survived  Pclass  \\\n0              1         0       3   \n1              2         1       1   \n2              3         1       3   \n3              4         1       1   \n4              5         0       3   \n..           ...       ...     ...   \n885          886         0       3   \n886          887         0       2   \n887          888         1       1   \n889          890         1       1   \n890          891         0       3   \n\n                                                  Name     Sex   Age  SibSp  \\\n0                              Braund, Mr. Owen Harris    male  22.0      1   \n1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                               Heikkinen, Miss. Laina  female  26.0      0   \n3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                             Allen, Mr. William Henry    male  35.0      0   \n..                                                 ...     ...   ...    ...   \n885               Rice, Mrs. William (Margaret Norton)  female  39.0      0   \n886                              Montvila, Rev. Juozas    male  27.0      0   \n887                       Graham, Miss. Margaret Edith  female  19.0      0   \n889                              Behr, Mr. Karl Howell    male  26.0      0   \n890                                Dooley, Mr. Patrick    male  32.0      0   \n\n     Parch     Fare Embarked  \n0        0   7.2500        S  \n1        0  71.2833        C  \n2        0   7.9250        S  \n3        0  53.1000        S  \n4        0   8.0500        S  \n..     ...      ...      ...  \n885      5  29.1250        Q  \n886      0  13.0000        S  \n887      0  30.0000        S  \n889      0  30.0000        C  \n890      0   7.7500        Q  \n\n[712 rows x 10 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Fare</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>7.2500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>71.2833</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.9250</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>53.1000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8.0500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>885</th>\n      <td>886</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Rice, Mrs. William (Margaret Norton)</td>\n      <td>female</td>\n      <td>39.0</td>\n      <td>0</td>\n      <td>5</td>\n      <td>29.1250</td>\n      <td>Q</td>\n    </tr>\n    <tr>\n      <th>886</th>\n      <td>887</td>\n      <td>0</td>\n      <td>2</td>\n      <td>Montvila, Rev. Juozas</td>\n      <td>male</td>\n      <td>27.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>13.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>887</th>\n      <td>888</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Graham, Miss. Margaret Edith</td>\n      <td>female</td>\n      <td>19.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>889</th>\n      <td>890</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Behr, Mr. Karl Howell</td>\n      <td>male</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>890</th>\n      <td>891</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Dooley, Mr. Patrick</td>\n      <td>male</td>\n      <td>32.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.7500</td>\n      <td>Q</td>\n    </tr>\n  </tbody>\n</table>\n<p>712 rows × 10 columns</p>\n</div>"},"metadata":{}}]},{"metadata":{"id":"4i8syK1K8lZf","trusted":true},"cell_type":"code","source":"# Don't touch this cell\nassert \"ticket\" not in df.columns\nassert \"cabin\" not in df.columns\nassert df.isna().sum().sum() == 0","execution_count":7,"outputs":[]},{"metadata":{"id":"jLG-xK5t3fA6"},"cell_type":"markdown","source":"For a detailed look at how to use pandas for data analysis, the best resource is Wes Mckinney's [book](http://shop.oreilly.com/product/0636920023784.do). Additional interactive tutorials that cover all of the basics can be found [here](https://bitbucket.org/hrojas/learn-pandas) (they're free).  If you still need to be convinced about the power of pandas check out this wirlwhind [look](http://wesmckinney.com/blog/?p=647) at all that pandas can do. "},{"metadata":{"id":"4p5-6okC3fA7"},"cell_type":"markdown","source":"### Let's take a Look at our data graphically:\n\nPlot 5 graphs in this section:\n\n\n1.   Plots a bar graph of those who survived vs those who did not. \n2.   Plots a Scatterplot of Survived distribution by Age\n3.   Plots a bar graph of Class distribution\n4.   Plots kernel density estimate of the passengers age separately for all 3 classes\n5.   Plots a bar graph of passengers per boarding location\n\n"},{"metadata":{"id":"tMdpxz7J3fA8","trusted":true},"cell_type":"code","source":"# specifies the parameters of our graphs\n\nfig = plt.figure(figsize=(18,10), dpi=1000) \nalpha=alpha_scatterplot = 0.2 \nalpha_bar_chart = 0.55\n\n# plot many diffrent shaped graphs together \nax1 = plt.subplot2grid((2,3),(0,0)) \n\n# plots a bar graph of those who surived vs those who did not. \nplt.title('Distribution of Survival, (1 = Survived)') \nsurv = [len(df[(df['Survived']==0)]), len(df[(df['Survived']==1)])]\n#print(surv)\nax1.bar(['0', '1'], surv)\n\n# plots a stem graph of the percentage of survivors according to age.\nplt.subplot2grid((2,3),(0,1))\nplt.title('Survival by Age,  (100 = Everyone survived)')\npassenger_age = np.array(pd.unique(df['Age']))\ndistr = np.array([100*len(df[(df['Age']==age) & (df['Survived']==1)])/len(df[df['Age']==age]) for age in passenger_age])\nplt.stem(passenger_age, distr)\n\nax3 = plt.subplot2grid((2,3),(0,2))\nplt.title('Class Distribution')\nclasses = np.array([1, 2, 3])\nclasses_distr = np.array([len(df[(df['Pclass']==cl)]) for cl in classes])\nplt.bar(['First', 'Second', 'Third'], classes_distr)\n\n# plots a kernel density estimate of the subset of the 1st class passangers's age\nplt.subplot2grid((2,3),(1,0), colspan=2)\nplt.title('Age Distribution within classes')\nsns.kdeplot(data=df, x='Age', hue='Pclass', common_norm=False, palette='crest')\n\n\nax5 = plt.subplot2grid((2,3),(1,2))\nplt.title('Passengers per boarding location')\nb_locations = np.array(pd.unique(df['Embarked']))\nplt.bar(b_locations, df['Embarked'].value_counts())\n","execution_count":8,"outputs":[{"output_type":"execute_result","execution_count":8,"data":{"text/plain":"<BarContainer object of 3 artists>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 18000x10000 with 5 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Vc9P8vol23wgybHdfdaA9Svzjcl/J8ttin5Vkh/r7tOW6AEAAAAAsKaq6uAkn0iy4xJtPpfkJd393oEZHprklUmOXCJDkjy/u9+4ZA8AAAAAAAaoqockOX3JNp/P/LngDyb5dHd/a8lM90ryzCS/lOTOS2a7oV/r7t8asd9Sqmr7zJ9jf+QSbS5P8rtJXtndlw7IsFuSlyT5z0l2WiLHKUkO7e4fLtEDAAAAAIAkVXV45pvOr6b9u/tLq7zGIObnAAAAAAAbX1UdkPmM9PYjtfynJG9J8t7uPnvZZlW1R+YvWz0y8xe5HngrJXt098XLrjuU2TkAAAAAwMZRVb+e5DdHaPWPmb+j8Z3dfeWSmbYk+b+S/GqSHx8h26eSPLq7rxmh1yBm5wAAAADAtq6q/leSfz11jptwWHefPHWIsZhHr76qen6S1y/Z5gNJju3uswasX0mOzvznMvdeIsNVSX6su09bogcAAAAAAGxIVbVT5u/Fvc8I7b6X5B1J3prklNX43YXFz4AOSvKYJE9M8ugk26+wzVHdffzY2QAAAACAtVdVz07ypiSzkVtfneRDSY5P8skk/9DdV4/RuKp2TvJjSQ5N8tjMn3kfI/8vdvdbRugDAAAAAAxUVdsl+d/s3XeYrWddLv77u9OBQASU3kEBAQEBAQUhlIC00I4iSjmIqAiCCiqgx3PsigoKR1EOYEeQjvQailSlq5TQBUJNCOnJ9/fHbH9hk0my51nPmjVr9udzXfu6jpy5n3XPu/PPvued9/3HJPeaeOyXs/EuyGd29wdnHVpVl0xy3yQPS3KjWecmOT4bz8j4zMQzAQCAXa66e9UdAACAHa6q3pPke7YY+3yS5yZ5Tpb0IIwkqaqbJPmtJHecdORvdfcTJp21sKq6fpJ3JTl08IivJnlQd794QpeDkzw+ya9l/Eb8jyW5fnefumgfAAAAAIBlq6qLJHlfkmsMHnFONjbV352xk1fVvZI8I8klBo84PclNR15eCQAAAADAYqrqhtl4aeFWvTMbLyh8fnd/cmqpvfbeJ/zgbGzaV5xw5BlJbtTdH5pw1sKq6neS/PICRxyX5Ee7+7MTulwpG3+f37/AMb/T3Y9btAsAAAAAwIFs773i709y9f2MfCXJJQc+6mrd/YmB3NLZzwEAAAAA1ltVXTzJu5Ncc8JxL0vym939LxPOOl9VdeUk98nGy1xvvsmXfFt3f22ZHS6I7RwAAAAAYD1U1VWT/GfG3++YJF9L8ktJ/rK7e0KtfVTV3ZM8JcmVFjzqYd39FxMqDbGdAwAAAAAHuqp6YZJ7LPEjOkkN5G7b3W+Y3GVl7NHLVVXXT/KujP9s5atJHtTdL57Q5eAkj8/GM/H3DB7zsSTX7+5TF+0DAAAAAADrpKqenOSRCx7zpSRPTPKU7v7G4q32X1VdIskxSe6V5O5JjtiP2N26+6VLLQYAAAAALF1VPTrJH00+9q1J/irJ87v7S5PP3lRVXSHJ/ZL8aJIbLXDUg7v7WVNKAQAAAABbtvfZB89Ocu9JR340yf9J8pzuPn3SmZuqqpsm+ZUk95x05MeS3Ka7PzPpPAAAYJerJbznBwAA2GWq6j1Jvmc/vvS0JM9N8tdJXt/dZy+z1zerqh9O8qdJvn3Bo05Nco3u/tzirRZXVccludVg/L1J7tndH59YKVV1TJJ/THKJwSN+o7t/bWIlAAAAAIClqKrfSPKEwfhXk9y3u187sVKq6hpJXpjkeoNHHNfdPzivEQAAAAAA+6Oqbpjk3/bzyz+Z5OlJ/r67j19aqW9RVRdL8ntJfjpJLXjcC7t71gN1hlXVtZO8L8khg0f8UZLHzrw3fu/Dkv4oySMGjzgzyfW7+z9ndQIAAAAAONBU1R8nedR+fvlHkjw/yS8NfNTVuvsTA7mlsp8DAAAAAKy/qvrbJPdf8Ji3J/n57n7rhEpbUlXfleQnkjww5z5X/Nu6+2vb3WVvH9s5AAAAAMCaqKq/SvKABY7412y84/FTkyptqqqOSvK3Se6ywDGfTXLN7j5tSqktsJ0DAAAAACRV9cIk95h03KlJ3pvk3d/056bZeB75Vt22u98wqddK2aOXr6qOS3Krwfh7s/FzlY9PrJSqOibJPya5xOARv9HdvzaxEgAAAAAA7GhVdYskb8li75r9f0l+cVXP+PlmVXVkknsm+dEkd0iy53y+9G7d/dJtKwYAAAAATFdVP5nkaROPfFmS3+nuN088c8uq6jpJfiHJjyc5dIvxB3f3s6aXAgAAAAD2S1X9dTa2vUV9OclvJnlqd5854bz9VlW3SvLEJDebcNyHk3zfTrjHFAAA2PnO7xfBAAAAtuJjSR6b5Ird/YDufs3Mh4zvj+7+xyQ3TvKuBY86IsnjF2+0uKq6f8YfRv7+JLeb/TDyJOnuVya5U5KvDx7xmKq6+sRKAAAAAADT7d0xHzMYPzHJHbv7tRMrJUm6+2NJjk7yocEjbl1VPzqxEgAAAAAAc3SSVyS5R5Krd/dvdvfx21qg++TufniS+yb5xoLHHVtVN5lQa1F/kuSQwexvd/cvzL43vrvP6u5HJvmDwSMOycb3BQAAAADAgKr6viSP3ELkYUlOW1KdVbGfAwAAAACssaq6X5L7L3DEmUl+Ncn3d/db57Tamu7+z+5+TJIrJXlokn9fRY9vYjsHAAAAAFgDVXWNJD+2wBHHJbl1d39qUqXz1d1fS3L3JM9Y4JgrJHnIlEJbZzsHAAAAABh3apK3JXlqkv+Z5AZJjuzuW3T3z3b3M7v7fUmm7qhryh69RFV1/yS3Goy/P8ntuvvjEyslSbr7lUnulOTrg0c8Zu87ZwEAAAAA4EDx20lqMPuNJPfp7p/Y+7sOK9fdX+/uv+7uOyW5RpLfTXLCimsBAAAAAJNV1e2ycV/9DO9McpPuvkt3v3nSmcO6+9+7+yeSXC3JH2b83mgAAAAAYBtV1S8m+fEJR700ybW7+0ndfeaE87aku9+U5OZJHpONd1Mu4juT/ENV7Vm4GAAAsOv5hwMAALCIdya5V5JrdfcfdPeXV1mmuz+T5NZJXr3gUT9RVZecUGlYVV0sye8Pxj+e5PbL/Pvo7rcluWvGfrB1eJI/ntsIAAAAAGC6Jyc5bCB3RpK7dPe7Jvf5/3X3F5PcLsknB4/4g707NAAAAAAAq3dGkmdk48E3d+7uF3f3Oass1N3PS3KbJF9d8KjHLt5mXFXdO8kdBuNP7e7Hz+zzrbr7sUmeNhi/Y1Xdc2YfAAAAAIADQVUdmo1dfn+fw/iM7n79EittO/s5AAAAAMB6q6qrJPmzBY74UpJbd/dvdvfZk2oN6+7Tu/vpSb47yYmr6GA7BwAAAABYK/8z+38/+Lf6QDaeH/6NiX0u0N7nyPxEkucvcMxDJtXZb7ZzAAAAAIAtOTXJ25I8NcmDk9wgyZHdfYvu/tnufmZ3v38n3L+909ijl2vvO0t/fzD+8SS37+4vT6y0j+5+W5K7JjlzIH54kj+e2wgAAAAAAHamqrp9Nt4xO+LEJLfZ+57aHam7P9Hdv5LkSknun+TfVlwJAAAAAJigqr4ryT8lOXjBo05K8sgkN+/udy9cbLLu/q/u/sUkV0/y9CTnrLgSAAAAAHA+9t6T+bsLHnN6kkd19926+0sTag3rDU9McsskH13wuDsl+a3FWwEAALvd6EuDAACAA9vrktyhu2/W3S/o7l51of/W3acmuXuS4xY45rAkPzKn0bBHJrn8QO7MJD/c3SdM7nMe3X1ckscNxu9eVTef2QcAAAAAYJaqumU2Xso44rHd/ZaZfTbT3Z/PxpZ91kD88kkeMbcRAAAAAABbdEqSJye5Rnc/pLs/vOpC36y735XkjtnoOeruVfVtkyptSVVVxh++884kj55Y54I8Msm/DmZ/e+/3CQAAAADA/vvVJNfdz689IckvLrHLtrOfAwAAAADsCk9LconB7MeT3LK73zaxzxR7X+a67c86t50DAAAAAKyPqtqT5AGD8VOT3Ku7T55Yab/s3b8fmORjg0fcqKq+Z2KlC2Q7BwAAAAC4QKcmeVuSpyR5cJIbJDmyu2/R3T/b3c/q7vd399krbbkG7NHb4pHZeHfpVp2Z5Ie7+4TJfc6ju49L8rjB+N2r6uYz+wAAAAAAwA7184O5M5PcZe/7aXe87j6ju/++u2+cjffpvibJtj+TCAAAAABYXFV9W5KXJjlqwaPen+RG3f2n3X3OwsWWqLu/1N0PTXLzJG9fdR8AAAAAYF9VdfUk/5jkoAWOOSnJHbv7yXNazbH3XtHvy8YzURbxy1V13wmVAACAXWzPqgsAAABr5e1Jbtvdt+vu16y6zPnp7tOS3DvJJxc45kFz2mxdVR2ejQeSj3hcd79zZp8L8YdJXjGY/aWZRQAAAAAAJhrdL1+6nb+g0N1vS/Krg/FHVtVhM/sAAAAAALBfzkzyZ0mu0d2P6u7PrLrQ+dn7EJwHLXDEYUnuN6fNlh2b5LsGcicn+eHuPnNunc119xlJfjjJNwbi105y97mNAAAAAAB2r6q6QbZ2r/jPdfdXl9VnRY6N/RwAAAAAYG1V1V2SHDMY/68kP9jdH5lYaTc4NrZzAAAAAIB1ceMkVxzM/tYqN/LuPjnJTy9wxF1mddkPx8Z2DgAAAADw396X5ClJHpzkBkmO7O5bdPcjuvtZ3f3+7j57tRXX1rGxRy9NVR2e5JGD8cd19ztn9rkQf5jkFYPZ0XfPAgAAAADAWqiqyyW542D8sd39lpl9tkt3v7q775Dk5avuAgAAAAAMeUqSay54xj8luUV3Hz+hz7bZey/2LZL8bJLTVlwHAAAAAEhSVXuS/F2SSy5wzAlJbtPdx81pNVd3fyXJ7ZO8esGjnl5Vo88BBwAADgB7Vl0AAABYCx9Kcu/uvnl3v2HVZfZHd38pGw+jH3XTqrrMrD5b9KAkI5/9wSRPmtrkQnR3J3lEkjMG4veoqmtPrgQAAAAAsJCquk6Suw1ET8vGXrrd/jDJfw7kLpvkgZO7AAAAAABw/s5J8uwk1+nun+nuz6+60P7o7ucm+esFjrjrrC5b9NjB3G9198enNrkQ3f3RJL83GP+lmV0AAAAAAHarqjooyTOSHLKfkZd397OXWGlV7OcAAAAAAGuqqg5O8sTB+NeT/FB3f3pipd3Cdg4AAAAAsD5uO5j7crb5HY+b6e5XJ3nDYPzoiVUujO0cAAAAAGCv7v617n5Edz+ru9/f3WevutMuYo9ergclucxA7oPZ5p+rdHdn412wZwzE71FV155cCQAAAAAAdpIfS3LQQO49Sf5kbpXt193nrLoDAAAAALA1VXVskh9d8Jgnd/d9u/sbEyptu97w1CQ3y8Y92gAAAADAaj0iyc0XyH8lyQ92979N6rMUezfVuyZ5zQLHXDzJ/53TCAAA2I32rLoAAACw83X3j3b381fdY6u6+/VJ/naBI24zqcp+q6o9SX5hMP7o7j5rZp/9sfeh708eiFaSx0yuAwAAAACwqMdkY7/cqj/q7k9M7nKhuvvMJD8/GP/Fvbs0AAAAAABL1t3v6+77dffHVt1lwKOTnDiYvVVVHTyzzIWpqltn7OFExyf548l19tcTk3xyIHeLqrrV7DIAAAAAALvQLyb53v382m8k+ekldlkJ+zkAAAAAwNp7eJJrD2Yf2N3vnVlmN7CdAwAAAACsndGd8+nd/Y2pTcaN7su33I7nidvOAQAAAADYDvbo5dr7M4VfGIw/urvPmtlnf3T3R5M8eSBa2XgHLQAAAAAA7FZ3Hsw9vrvPmdoEAAAAAOBCVNWlkvz5gsf8WXc/akKdlevu9ye5aZKnrboLAAAAAByoquoqSX5rgSNOT3KP7v6PSZWWqrvPSHKfJB9c4Ji7VdUPT6oEAADsMkt/eQ4AAMCK/Z8kZw9mbzuzyH66fZJrDuTe0N2vnl1mC347yckDuftV1ZGzywAAAAAAjKiqiye530D0pCS/N7nOfuvulyV5y0D0WkmOnlwHAAAAAIBdpru/kuTJg/GLJbnJxDr746cGc/+nu0+f2mQ/dfepSX5zMP6wmV0AAAAAAHabqvrOJL++hcivdvcnl1RnleznAAAAAABrqqoukuRXB+PP6u4XzOyzi9jOAQAAAADWy3UGc8+e2mIxr0jytYHcEUmuNLfKpmznAAAAAABsB3v0ct0+yTUHcm/o7lfPLrMFv53k5IHc/arqyNllAAAAAABg1arqsCS3GIh+PMnLJ9cBAAAAANgff5rkMgvk/yrJwyd12RG6+9Tu/qkkP53k7FX3AQAAAIAD0NOSXHSB/IO6+82zymyH7j4xyV2SfGGBY/6kqi45qRIAALCL7Fl1AQAAgGXq7o8keeVg/Pozu+ynHxvM/eHUFlvU3V9L8oyB6BFJ7j23DQAAAADAsPskOXwg95fdfdLsMls0uhOP7tIAAAAAABxY/izjD+Tetvuyq+piSe4xEP1ckn+YXGer/ibJCQO5Y6tqkQcyAQAAAADsWlVVSZ6e/b9P/F1J/mR5jVbDfg4AAAAAsPYenORSA7lPJ/m5yV12Bds5AAAAAMB6qapDklx1IPql7n7P3DbjuvuMJG8cjF9rZpdvZTsHAAAAAGA72KO3xeg7SkffiTpFd38tyTMGokckuffcNgAAAAAAsCPcLPv/jP1v9vzu7tllAAAAAAAuSFV9X5L7LXDEO5P85G7dN7v7z5PcLcnXV90FAAAAAA4UVXW3JMcscMRTuvvZs/psp+7+ZJIHJBndXL8jya/NawQAAOwWe1ZdAAAAYBv87WDumlNbXIiqOiLJPQei/5nknyfXGfGkJOcM5O4/uQcAAAAAwKiRvfLsJH8yu8iAFyX52EDuXnv3aQAAAAAAOF/d/fkkrx2Mb+d92fdMcpGB3FO6+4zZZbaiu09P8tSB6EWTHDu3DQAAAADArvEzSW61n197VpKHdvfZS+yzKvZzAAAAAIA1VVV7kjxqMP747j5pYp3dxHYOAAAAALBeLp/k4IHc22cXmeBfBnNXnNrivGznAAAAAABsB3v0Eu19N+k9B6L/meSfJ9cZ8aQk5wzkRt5FCwAAAAAAO913D+ZG3z0LAAAAALCI314g+5Uk9131PePL1t0vz8b7Vf9r1V0AAAAAYLerqkryvxc44j+SPHZSnZXo7lcl+b8LHPGwqrr8rD4AAMDusGfVBQAAALbBa5L0QO47quris8tcgGOTXGwg98zuHvn+purujyd5/UD0aD/EAgAAAABWraqukOQ2A9FXd/enJtfZsu4+J8mzBqJHJrn73DYAAAAAAOxSrxnMXWtqiwv2YwOZ0Y19GZ6ZsXvfR75vAAAAAIBdraqunOR3thD5o+5+z5LqrJr9HAAAAABgfd09yTUHcu9J8rdzq+wqtnMAAAAAgPVy5GDuI1NbzPHhwdzIey63wnYOAAAAAMB2sEcv17EZ+5nCM7t75Puaqrs/nuT1A9Gjq+rys/sAAAAAAMCKjb4L9v1TWwAAAAAAXIiqun2Soxc44sHd/clZfXay7n5vd79q1T0AAAAA4ABwzyQ3GsyeleTHuvvUiX1W5TEZfyb24Ul+ZWIXAABgF9iz6gIAAADL1t1fzPiLUC89s8uFuO9AppM8e3aRBfzDQGZPknvNLgIAAAAAsEX3zti9NCO76LKMdhnZpwEAAAAAOPC8eTC3LfdkV9W3JbndQPSN3f1fs/uM6O5PJ3nLQPQOVXXU5DoAAAAAAOvuaUmO3M+vPT7Jry+vyurYz+3nAAAAAMDae/Rg7gnd3VOb7BK2c9s5AAAAALCWLjaY+8zUFnN8ejA3eg0ulO3cdg4AAAAAsB3s0duyR4+8m7STPHt2kQWMvJd1T5J7zS4CAAAAAAArds2BzOndvRN/lwIAAAAA2N1+e4HsC7v7xdOaAAAAAAAHvKqqJL++wBFP6+53T6qzUt19asbfh5kkD62qK87qAwAArL89qy4AAACwTT48mLvo1Bbno6oOSnL0QPRfuvuTs/ss4HlJzhjI3XF2EQAAAACALRrZKU9L8sLJPYZ198eSvGMgeru9OzUAAAAAAFyQHX1PdpLbJRnZu/9hdpEF/f1AZvR+dAAAAACAXamqHpjkTluI/NTeB8DvRvZzAAAAAIA1VVVXTnKrgeiHk7xscp3dxHYOAAAAALB+DhnMnTy1xRzfGMwt8znitnMAAAAAALaDPXqJ9r6TdOQz/qW7Pzm7zwKel+SMgdzIO2kBAAAAAGAnu9RA5qTpLQAAAAAALkBV3S7JTQfjpyZ51Lw2AAAAAABJkrsnuf5g9sQkvz6vyup198uSvHYwfliSX5xYBwAAWHN7Vl0AAABgm3xqMHexqS3O302TXGIg95LZRRbR3V9L8qaB6G2q6uDJdQAAAAAA9ktVHZLkBweib+zunfYA6ZHd+KgkN5ncAwAAAACAXaa7v5zklIHodt2TffvB3Euntljc6D3id5jaAgAAAABgTVXVZZL80RYif9Pdr15Wnx3Afg4AAAAAsL5+OEkN5P60u3t2mV3Edg4AAAAAsH5OG8ydObXFHGcM5k6d2mJftnMAAAAAALaDPXq5bprkEgO50e9nKbr7a0neNBC9TVUdPLkOAAAAAACs0kUHMqO/swAAAAAAMOphC2R/r7s/Oa0JAAAAAMCGn1wg+9vd/aVpTXaOX0xyzmD2x6vqsJllAACA9bVn1QUAAAC2ycmDuZra4vyNPvD8NVNbzDHS6cgkN59dBAAAAABgP908ycUGcrtlo02W/2JOAAAAAAB2h5H7snfyPdkf7O7PTW+ygO7+TJL/HIja+gEAAAAANjw1ySX382u/lOTnl9hlJ7CfAwAAAACsrx8ZyJyS5K9mF9llbOcAAAAAAOvn64O5I6a2mOMig7kTp7bYl+0cAAAAAIDtYI9ertHzd8t7WY/MxrtpAQAAAABgt7joQGZ/n9EPAAAAALCwqvqOJPcYjH89yZPmtQEAAAAASKrqCkmOGYx/JclTJtbZMbr7PUleMhi/ZJJ7zmsDAACssz2rLgAAALBNzhrMjb54datGHkj+lST/OrvIBKMPSfcSUgAAAABgVXbTSyPfmeTEgZyNFgAAAACA/TFyX/bS78muqqslufpAdCdu/clYr2vsvQ4AAAAAAAesqrpXkntvIfLz3f2lZfVZNft5Evs5AAAAALCmquqaSW48EH1Zd2/Xc7XXju08ie0cAAAAAFhPnx3MfdvUFnOMdvr01BZ72c6T2M4BAAAAAJbOHp1k+Xv0yDtJv5LkX2cXmWD07917WQEAAAAA2E1qIHNEVV1kehMAAAAAgM09OMmhg9mndfeJM8sAAAAAACR5UJKDBrN/0d2nTOyy0zx5gexDprUAAADW2p5VFwAAANgmRw3mTp5ZYjNVdXCSmw5Ej+vuc2b3meBfk4z8csEtZxcBAAAAANhP3z+Q+UqS984usqjuPjvJcQPRm+3dqwEAAAAA4IIcNZBZ+j3ZSX5gMPf6qS3med1gzj3ZAAAAAMABq6q+LclTtxB5TXf/zbL67BD28w32cwAAAABgHd1zMPecqS12H9v5Bts5AAAAALBWuvvrSb48EL3q5CozXG0w97GpLc5lO99gOwcAAAAAWC579Ial7NF730V604Hocd19zuw+E/xrkhMHcvZ+AAAAAAB2k1MHc5ef2gIAAAAA4Pz9xGDujCRPmtgDAAAAACBVVUn+52D8rCRPnVhnx+nu1yd532D8dlV11Yl1AACANbVn1QUAAAC2ySUHc1+c2mJz101y+EDunbOLzLD3Ien/OhC90ewuAAAAAAD76YYDmXd3d88uMsm7BjKHJ7nO7CIAAAAAAOweVXVYkosMRE+Y3WUTo/ci78h7sjO29SfJjae2AAAAAABYL3+c5LL7+bWnJnnYErvsFPbzDfZzAAAAAGAdHT2QOSXJP88ussvYzjfYzgEAAACAdfTegcz1p7dY3EinryU5fnKP/2Y732A7BwAAAABYLnv0hmXt0dfNxjtJt2pHXt/uPifJvw5ER/87AwAAAACAneiUwdwPTm0BAAAAALCJqrp+kmsOxl/S3Z+d2QcAAAAAIMn3Jrn6YPaF3f2ZmWV2qKcO5irJfWYWAQAA1tOeVRcAAADYJtcdyHyuu0+e3uS8Rh90PvLQ7+3y7oHMparqytObAAAAAABcgKq6apJLDkR320abeHEkAAAAAAAXbOSe7CT5yNQWmxu5J/sL3f1f05tM0N2fSvLFgaitHwAAAAA4IFXVHZM8cAuRX+/u45fVZwexn2+wnwMAAAAAa6WqDkry/QPRN3f3KbP77DK28w22cwAAAABgHb19IHOjqrrI9CaL+YGBzL90d09vssF2vsF2DgAAAACwXPboDcvao0eub7L73st6qaq68vQmAAAAAACwGicM5u44tQUAAAAAwObuskD276e1AAAAAAA4150XyD57Woud7XlJzhrM3mlmEQAAYD3tWXUBAACAZauqw5JcdyD6kdldzsfoA8lHHvq9Xd41mBu9FgAAAAAAo2y057LRAgAAAABwQUZ35KXel11VleSGA9GdvPUnY/1uNL0FAAAAAMAOV1UXS/IXW4i8N8kfLanOjmE/34f9HAAAAABYNzdJcuRA7nWzi+wmtvN92M4BAAAAgHX0ioHMIUnuPLvIqKq6fJKbDkRfPrtLYjv/FrZzAAAAAIAlsUfvY1l7tPeynst7WQEAAAAA2C0+OZg7pqouMbUJAAAAAMB5/dBg7qQkL5tZBAAAAABgrzsN5r6RA2S37O4vJ3n9YPxWVXXRmX0AAID1s2fVBQAAALbB9yU5eCD33tlFzsfIg84/391fnN5knvcN5ryEFAAAAADYbqO75OgOunTd/YUkJwxEbbQAAAAAAFyQ7x/MLfu+7KsnGXnR447d+vca6XdUVV1tehMAAAAAgJ3td5NcZT+/9uwkP9HdZy2xz05hPz+X/RwAAAAAWDe3GcyNvtj0QGE7P5ftHAAAAABYR2/N2LO3HzC7yAIekGTPFjNnJ3n+EroktvNvZjsHAAAAAFgee/S5lrVHj7yL9PPd/cXpTeYZ/fv3XlYAAAAAAHaLjw/mLpHkl2cWAQAAAAD4ZlV1VJJbDsZf2N2nTawDAAAAAJCq+rYk3zcY/+fuPnVmnx3uuYO5Q5McPbMIAACwfrb60h0AAIB1dK/B3Buntjh/1x3IfHR6i7mOT3LOQG7kWgAAAAAALGJklzwn4w+b3i4jO7KNFgAAAACATVXVQUnuPhA9Mcl75rY5j9F9e6ffkz3az94PAAAAABwwquoHkvzMFiJ/2t3vWlafHcZ+vi/7OQAAAACwTm45kDklybtnF9llbOf7sp0DAAAAAGulu89K8rcD0btV1XVm99mqqjo8yc8NRF/R3Z+d3Wcv2/m+bOcAAAAAAMthj97XMvbokTN3+vU9Phvvjt0qez8AAAAAALvFIs8T+rmqutq0JgAAAAAA+7pjkoMGs6+cWQQAAAAAYK87ZHy3fMnMImvgpQtk7zStBQAAsJYOXnUBAACAZaqqSnKvgWgneePkOudRVRdPcsmB6I5+IHl3n15Vn0ly5S1GPVwFAAAAANhuI7vkp7r7jOlN5vpokltuMXPpqrpYd5+8jEIAAAAAAKy12yS51EDuTd19zuQu32r0HuQdfU92xvu5JxsAAAAAOCBU1eFJnp6k9jPyySRPWF6jHcd+vi/7OQAAAACwTq43kHl/d5898mFV9Z1JbrL3c6+X5KpJLpHk4kkuluSsJKfs/XNikk9lY3f/RJL3JXl7d39l5LO3me18X7ZzAAAAAGAdPTXJI5McvIVMJfnjJHdaSqP994Qklx3I/cHsIt/Edr4v2zkAAAAAwHLYo/c1dY+uqosnueRAdEdf3+4+vao+k+TKW4za+wEAAAAA2C3eleTsJAcNZI9I8oqq+oHu/uLcWgAAAAAAufkC2TfMKgEAAAAA8E2+f4HscdNarIHu/lxVfTTJNQfii1xnAABgF9jKC4MAAADW0V2TXGkg9/bu/tLsMpsYfQD3R6a2WI6PxgPJAQAAAICdb2SXXJeNdsTVkrx/ZhEAAAAAAHaFnxnMvXRqi83t1nuyF9n6AQAAAAAOBL+e5Lu28PU/093fWFKXnch+vi/7OQAAAACwFqrqIkmuOhB9zxY/51ZJ7pmNZ3hf60K+/OAkhye5ZJIrJvnuTc77SJI3JHlektd195lb6bNNbOf7sp0DAAAAAGunu4+vqr9N8qAtRo+pqod2918uodaFqqqbJ3nMQPS13f3G2X2+ie18X7ZzAAAAAIDlsEfva/YevVuvb7Jxja+8xYy9HwAAAACAXaG7v1FV70hyi8EjvjPJy6vqh7r7hInVAAAAAABuPJj7cHf/19QmAAAAAAAbbjSY+0R3f2pqk/XwpiTXHMhdt6oO7e4zZhcCAADWw55VFwAAAFiynx/M/d3UFudv9AHcH5/aYjlGOl6yqi4+vQkAAAAAwCaq6qgkRw1Ed+tGm3hxJAAAAAAA36Kqrp7k2IHoGUmeO7fNpka27dPX4OHqn0ly5kDO1g8AAAAA7HpVdeMkv7CFyLO7+2XL6rND2c/3ZT8HAAAAANbFdTL2PqH3XNgXVNXhVfU/q+q9SY5L8ugk1xr4rM1cK8lDk7wiyReq6mlVdd1JZ89iO9+X7RwAAAAAWFePT/L1gdyfVtWtZpe5MFV1tSTPS3LoFqNnJHnE/Eb7sJ3vy3YOAAAAALAc9uh9zd6jR8/bre9lvWRVXXx6EwAAAAAAWI0XLJj/3iTvqapjJ3QBAAAAAEhVVZIbDsbfMK8JAAAAAMCGvbvl9wzGj5vZZY28aTB3SJLvnlkEAABYL3tWXQAAAGBZquoWSW4zED0ryT/ObXO+Rh9I/vmpLZZjtKOXkAIAAAAA28VGe142WgAAAAAAvtUvZez3UV/e3V+ZXWYTI9v2F6a3mKy7O8kJA1FbPwAAAACwq1XVwUmekeTg/Yx8NcmjllZo57Kf78t+DgAAAACsi9GXi37g/P4/asOPJ/l4kv+X5AaDn7G/vi3JTyb5QFW9rKpuueTP21+2833ZzgEAAACAtdTd/5XklweihyV5WVXddnKl81VV35XkDUkuPxD/9e7+97mNzsN2vi/bOQAAAADActij9zV7j/Ze1vOy+QMAAAAAsFs8N8k5C55xuSQvqKrXbefvVAAAAAAAu9Y1klxiMPueiT0AAAAAAP7bNZJcfDD7jplF1sjbF8jeaFoLAABg7exZdQEAAIBlqKpK8qTB+D909xcn1rkgVx7MrcMDyT83mLvK1BYAAAAAAOfPRnteNloAAAAAAP5/VXWDJA8ZjP/JzC4XYGTvX4etPxnb+239AAAAAMBu98tJvmcLX/+L3f2FZZXZwezn+7KfAwAAAADr4tqDueM3+x/33hP+piR/neSyo6UGVZI7J3lLVf1tVV1+mz//W9nO92U7BwAAAADWVnf/3yQvGIheLMmrqurRe993uTRVdd8k78jYPv2yJL87t9GmbOf7sp0DAAAAACyHPXpfs/do72U9L5s/AAAAAAC7Qnd/IslLJx132ySvq6r3VdUjq+oyk84FAAAAAA4sN1og+8FpLQAAAAAAznXDBbIfmlVizXwkyVmD2RtO7AEAAKyZPasuAAAAsCQPSHKzgVwn+Z3JXS7Itw/m1uGB5KMdLz21BQAAAADA+bPRnpeNFgAAAACAb/akJAcN5N7W3a+b3OU8qurgJEcNRNdh60/Geh5VVSN/ZwAAAAAAO15VXSfJE7YQeUN3P2NZfXYq+/mm7OcAAAAAwLq44kDm9CSf+9b/saoemuQdSb5/0VIT3D/Jf1bVg1bx4bbzTdnOAQAAAIB19+NJ3jKQOzjJHyV5S1XdYm6ljfveq+pFSZ6T5OIDRxyX5L7d3XOb7ct2vinbOQAAAADAZPboTc3eo72X9by8lxUAAAAAgN3kDyefd/0kT07y2ap6fVX9QlV99+TPAAAAAAB2r+9aIPvBaS0AAAAAAM51nQWy/z6txRrp7jOTfGwwft2ZXQAAgPWyZ9UFAAAAZquqb0/y+4Px53f3dv7A6VIDmTO6+6vTm8w3+kDykWsCAAAAADBidI/c8S+N7O4vJzlzIGqjBQAAAAAgSVJVD0xy28H4b83scgF27da/10jPSnLJ2UUAAAAAAFatqvYk+X9JDtvPyOlJHra8Rjua/fy87OcAAAAAwLq47EDmE93d//1/VNVhVfWMJH+R/d/Vt8PFkjyzqp5VVRfZ5s+2nZ+X7RwAAAAAWGvd/Y0kd07y9sEjbpHkrVX1uqq6f1VddLRLVR1aVXevqhck+UCSuw8e9ZYkd+nuU0a7bIHt/Lxs5wAAAAAA89mjz2v2Hj1yjc/o7q9O7LAso/8deC8rAAAAAAC7Rncfl+QlSzj6oCS3SfLEJB+oqi9U1T9V1aOq6vsX+T0LAAAAAGBXu+Jg7oTu/vLUJgAAAAAAG640mPtqd6/L8y2W4d8Hc6M7MQAAsAscvOoCAAAAS/AXSb5jIHdGksdN7nJhRh5u/rXZJZbka4M5LyAFAAAAALbL6B75tZkllujEJJfeYsZGCwAAAABAqurKSf5kMP7G7n7pzD4XYLdv/V8bzF0yyRcn9gAAAAAA2AkemeQWW/j63+juDy+rzA5nP9+c/RwAAAAAWAeXG8h88r//H1V1WJIXJTlmWqP5Hpjke6rqmO4+YZs+03a+Ods5AAAAALDWuvvrVXVMklckufngMbfd++eMqnprkn9J8r4kxyf5r2xssKcl6SSHJzkyyeWTXCXJDZLcLMkPJrno8Dey4ZVJ7tvdJy94zv6ynW/Odg4AAAAAMJc9enMz9+iRa/y1SZ+9bF8bzHkvKwAAAAAAu83PJ7l9kiOW+BnfkeTee/8kydlV9e9J3vlNf97X3WcssQMAAAAAsPNdaTB3/NQWAAAAAADnusJg7iNTW6yfDw/mRq83AACwCxy86gIAAAAzVdUDkxw7GP/j7h79gcuoSw1kvj69xXKM9hy5JgAAAAAAI0b3yHXaaS+9xYyNFgAAAADgAFdVleRZSS4+ED87yc9OLXTBDoStf4S9HwAAAADYVarqakl+cwuRDyT5/SXVWQf2883ZzwEAAACAdXDZgcwXk6SqDkvywiTHzCy0JDdMclxV3aG7P70Nn2c735ztHAAAAABYe919YlXdOslvJfnFJDV41KFJbrP3z3Y6I8mvZONdmr2Nn2s735ztHAAAAABgLnv05mbu0SNnub4AAAAAALBGuvujVfWoJE/bxo89KMn19v558N7/7fSqem+Sd+79844k/7HNvw8BAAAAAKzWFQdzn5/aAgAAAADgXKO75eemtlg/o7vtxarqEt194tQ2AADAWjh41QUAAABmqaprJ/nTwfhnk/zmxDr765IDmZOmt1iO0Z4j1wQAAAAAYMToHrmbd1obLQAAAAAAj0ty28HsU7v7AzPLXAhb/+bs/QAAAADAbvOXSS66n197TpKf7O4zl9hnp7Ofb85+DgAAAADsaFV1SJJLDUS/VFWV5O+T3Gluq6X6riRvqqqbd/foy1j3l+18c7ZzAAAAAGBX2Hv/+GOr6pVJ/jrJ5VdcaX+9L8kDu/s9K/hs2/nmbOcAAAAAAHPZozc3c48eOcv1BQAAAACANdPdf1FV35/kASuscViSm+39899OrKp3JnlbkjcnOa67T11FOQAAAABgW1xxMLfs55ADAAAAAAcuu+WYRb7/KyY5cVYRAABgfRy86gIAAAAzVNXFkjw/yZGDRzy8u0+eWGl/XWIg8/XpLZZjtOdRM0sAAAAAAFyAkY02SVaxJ48Y2WmPml0CAAAAAID1UVV3SPJ/BuOfTPKrE+vsj9Gt3z3ZAAAAAABroqp+IsntthD5s+7+l2X1WRP2880dNbMEAAAAAMASHJWkBnJfTvJLSe614Oefk+RTST6W5GvZeMbKwUkumuTbk1wzyWUW/IxvdZUkL6mqH+zuUyaf/c1s55s7amYJAAAAAIBV6+7XVtV1kjwiyaOTXGrFlc7Pe5P8ZpLndXevqIPtfHNHzSwBAAAAAIA9+nwcNbHDyDV2fQEAAAAAYD09JMklk9x11UW+ySWS3H7vnyQ5varenOSV2fi9ieNX1gwAAAAAmKqqDs/GRjniczO7AAAAAAAkSVUdlvHd8gszu6yhRb7/KyT54KwiAADA+jh41QUAAAAm+X9JrjOYfWZ3v2hmmf1RVQcn2TMQPXl2l2Xo7rOr6rQkh28xeugy+gAAAAAAbOKwgcwp3X3O9CbLMbInH1RVe9boewQAAAAAYJKqunKSv8/YPc6d5EHdfdLcVhdqZOtP1uSe7Iz3dE82AAAAALArVNXlkzxxC5HPJnnckuqsE/v55uznAAAAAMBOd8Rg7gZJ7jmY/USSf0jy2iRv7e5TL+iLq+rSSW6T5Jgk901yicHP/WY3SfI3Se494azzYzvfnO0cAAAAANh19j7/5Leq6slJHp7kkUkuv9pWSZIzkrwuyZ8neXF394r72M43ZzsHAAAAAJjLHr25KXt0VR2csefKr8X17e6zq+q0JIdvMWrvBwAAAABgV+rus6rqvtl49+zoM4eW7bAkt9v75/er6l1JnpPkr7v7CyttBgAAAAAs6mILZO2DAAAAAMAyHLlA9kDfLT+/QHaR6w4AAKyxkQffAQAA7ChV9dgk/2Mw/skkj5rXZktGH7x95tQWyzXS1QPJAQAAAIDtMrJH7vaNNrHTAgAAAAAccKrqIkmen+TSg0c8qbvfMK/Rftvt92Tb+gEAAACAA92fJbnEFr7+4d190rLKrBH7+ebs5wAAAADATnfYYO4+SQ7aYuZfkhyT5Ord/bjufm13n3phoe7+Unf/U3c/NMllk/xkkk9tufF53auqHjbhnPNjO9+c7RwAAAAA2LW6++Tu/r0kV0zyA0n+KMnHt7tGkhcmuX+Sb+/uO3f3i7q7t7nHZmznm7OdAwAAAADMZY/e3Kw9erdf32Ssq70fAAAAAIBdq7tPy8Yzh5646i776SZJfj/Jp6vq2VV161UXAgAAAACGHbFA9pRpLQAAAAAAzrXIbvn1aS3W08kLZBe57gAAwBrbs+oCAAAAi6iqeyf53cH42Uke0N0nTay0FYcM5s6a2mK5PJAcAAAAANjJRnba3b7RJnZaAAAAAIADSlXtSfJ3Sb538Ij3J3ncvEZbstvvybb1AwAAAAAHrKr6kSR330Lked39omX1WTP2883ZzwEAAACAne7wbfiMLyX5ke6+ZXe/qrt79KDuPq27/zLJtZL8ZhbfmZ9YVVdf8IzzYzvfnO0cAAAAANj19m7hH0jytiSvTnLyNn58Jbltkvsk+R9Vdclt/OwLYzvfnO0cAAAAAGAue/TmZu3Ru/36JmPX2N4PAAAAAMCu1t3ndPdjktwtyRdW3Wc/HZLkh5O8sareVFVHr7oQAAAAALBlRyyQPW1aCwAAAACAcy2yW54+rcV6WuT73473bgIAADvQnlUXAAAAGFVVN03yN9l4yeiIx3f3cRMrbdXog7fX6YHkI109kBwAAAAA2C4je+Ru32gTOy0AAAAAwIHm95McO5g9Kcl9untVDyzf7fdk2/oBAAAAgANSVV06yZ9sIXJikkcsqc46sp9vzn4OAAAAAOx0y36p6FuTXK+7/3Hmod19Rnf/apLvT/L5BY66WJK/mNPqPGznm7OdAwAAAAC7VlUdVFX3rKoXJPlCkuck+cls7NHb6RJJ7pnkL5N8vqpeXFV3rKrRd3DOYjvfnO0cAAAAAGAue/TmZu3Ru/36JmNd7f0AAAAAABwQuvulSa6X5BlJzllxna34gSSvrarXVdV1V10GAAAAANhvizxH/fRpLQAAAAAAzrXIbnnatBbraZHv/4hpLQAAgLWyZ9UFAAAARlTVVZK8JOM/5Hhxkt+f12iIB5Jv7pDpLQAAAAAANjey0+72jTax0wIAAAAAHDCq6mFJfmGBI/5nd394Vp8Bu/2ebFs/AAAAAHCgenKSb9/C1/9yd39uWWXWkP18c/ZzAAAAAGCnO2yJZz8vydHd/YVlfUB3vyPJzZL85wLH3K6qjplU6ZvZzjdnOwcAAAAAdp2qOryqHpXkY0men+TYLHeD34pDktwtySuTfKCq7ltVtaIutvPN2c4BAAAAAOayR29u1h69269vMtbV3g8AAAAAwAGju7/U3Q9JctMkr111ny26bZL3VNXvVNVO+d0PAAAAAOD8HbFA9vRpLQAAAAAAzmW3HLfI97/IdQcAANbYnlUXAAAA2KqqulSSVyS5zOARH0vywO7uea2GHDyY80ByAAAAAIA5Rnba3b7RJnZaAAAAAIADQlXdLclTFzjiD7v7ebP6DNrt92Tb+gEAAACAA05V3TXJj24h8pYkT1tSnXVlP9+c/RwAAAAA2OlqSee+PMn9unvpL3zt7k8nuX2STy5wzO9U1exrYTvfnO0cAAAAANhVquqBST6S5I+TXGXFdS7MdZM8J8nbq+pGK/h82/nmbOcAAAAAAHPZozc3a4/e7dc3Getq7wcAAAAA4IDT3f/a3bdPcvMkL0rSK660vw5J8stJ3lZV11p1GQAAAADgAh22QPaMaS0AAAAAAM5ltxy3yPe/yHUHAADW2OjD7wAAYEuq6mpJHrLqHrvUh7r771ddYrtU1cWS/HOSaw8ecWKSY7v7a9NKjRt9sPhBU1ss18i/O9fpgesAAAAAwHob2SN3+0ab2GkBAAAAAHa9qrp1kn/M+O79ymy8rHDVdvs92bZ+AAAAAOCAUlUXT/LnW4ickeSh3d1LqrSu7Oebs58DAAAAADvdmUs48z+S3Le7l3H2prr7M1V1tyRvT3LEwBE3SnLXJC+ZWMt2vjnbOQAAAACwK+x9X+rTkxy96i4DbprkHVX1e0n+V3efvU2fazvfnO0cAAAAAGAue/TmZu3Ru/36JmPX2N4PAAAAAMABq7vfnuTYqrpqkp9I8uAkl19pqf1zwyTvrqof7e6XrroMAAAAALCpMxbIHjKtBQAAAADAueyW4xb5/j3XAQAADlCjD98DAICtukqSx6+6xC71oiR/v+oS26GqDkvywiTfN3jEaUnu3t0fmFZqMaM/GFunH4qN/LtzkR8YAgAAAABsxcgeuds32sROCwAAAACwq1XVjZO8JMkRg0e8I8m9u3snPLBmt9+TbesHAAAAAA40f5DkClv4+t/p7n9fVpk1Zj/fnP0cAAAAANjpZu+YpyW5T3d/Y/K5F6q7319Vj0jy9MEjfjob973PYjvfnO0cAAAAAFh7VXWPJM9KctTEY7+e5NNJPpPkpCSnJjknG89ruWg27nu/YpJLT/q8g7Pxvtfvr6of7u4TJp17QWznm7OdAwAAAADMZY/e3Kw9erdf32TsGtv7AQAAAAA44HX3J5I8oar+V5LbJLlPknsmucwKa12YI5O8oKoe2t3PWnUZAAAAAOA8Tl0ge/i0FgAAAAAA57Jbjlvk+z99WgsAAGCtjD58DwAAYFtV1cFJnpPkdoNHnJXkvt193LxWCztzMLdO/5bzQHIAAAAAYCcb2Wl3+0ab2GkBAAAAAHatqrpuklcmufjgER9K8kPd/Y15rRay2+/JtvUDAAAAAAeMqrptkoduIfIfSX57SXXWnf18c/ZzAAAAAGCnm71j/l53f3Dymfutu/9fVf14kh8ciB9TVVfr7o9PqmM735ztHAAAAABYa1X1mCS/l6QWPOqzSV6e5FVJ3t3dx+/n539HkhsnuW2SH0pyvQV73CbJW6vq9t39iQXPujC2883ZzgEAAAAA5rJHb27WHr3br28y1tXeDwAAAAAAe3X32Ulem+S1VfXwJDdLcsckd0hy8+y8nxscnOQZVbWnu5+x6jIAAAAAwD5OXSB72LQWAAAAAADnsluOW+T7P31aCwAAYK3sWXUBAACAC1NVe5L8TZK7Dx5xTpIHdvdL57WaYvTB2zvtwSIX5JCBjAeSAwAAAADbZWSP3O0bbWKnBQAAAADYlarqmklek+TSg0ccn+QO3f3lea0Wttvvybb1AwAAAAAHhKq6SJK/TFL7GekkP9nd9tDN2c83578XAAAAAGCnm7ljfjrJ7048b9QjsrHrb9WeJA+Y2MN2vjnbOQAAAACwtqrqt5L8fvb/PvTNvDTJnZNcubsf2t3P7e7j9zfc3Sd09yu6+5e6+/pJbpjkz5OcvkCnayR5c1VddYEz9oftfHO2cwAAAACAuezRm5u1R+/265uMXWN7PwAAAAAAbKK7z+nut3X3/+nuWyU5KsnRSR6X5CVJvrDKft+kkjytqu606iIAAAAAwD5OXSB7+LQWAAAAAADnsluOW+T791wHAAA4QO1ZdQEAAIALUlWV5OlJfmSBY36mu/9+UqWZRn9AM/og9VUYeXj6mdNbAAAAAABsbmSn3e0bbWKnBQAAAADYdarqKklem+Ryg0d8Nsntu/u/5rWaYrffk23rBwAAAAAOFL+R5Bpb+Pq/7O43LavMLmA/35z9HAAAAADY6Wa+VPQPu/u0iecN6e73J3nRYPyuE6vYzjdnOwcAAAAA1lJVPSbJ4xY44q1Jvq+779bdr+juc2b06u73dvdPJ7lmkr9a4KgrJHllVV16Rq/zYTvfnO0cAAAAAGAue/TmZu3Ru/36JmPX2N4PAAAAAAD7obu/0d2v7+7f6e67d/dlk1wxyT2S/O8kL0myqvfYHpzkOVV1tRV9PgAAAABwXos89/wi01oAAAAAAJxrkd3yYtNarKeLLpA9cVoLAABgrexZdQEAAIAL8dQkD14g/wvd/bRZZWbq7rOSjLx4dZEfCm2bqtqT5IiB6OmzuwAAAAAAnI+RF0cesXf/XAcjv2RxdnefPb0JAAAAAAArU1WXT/LaJFcePOKLSW7f3R+f12qaka0/WZN7sjP+QCX3ZAMAAAAAa6OqbpbkUVuIfC7JLy2nza5hP9+c/RwAAAAA2OlOmXTOiUn+ctJZM/zBYO57q+qykzrYzjdnOwcAAAAA1k5VHZvk9wbjZyV5bJJbdfc7ppX6Ft39me5+UJK7JDlh8JjvTPLsJT4T3Xa+Ods5AAAAAMBc9ujNTdmju/usJOcMRNfi+u79OckRA1F7PwAAAAAADOruz3b3i7v717v77t19hSSXSfJDSX41yT8n+fI21Tkyyd9V1UHb9HkAAAAAwAU7eYHsZaa1AAAAAAA419cXyB7ou+Ui74n80rQWAADAWlnWS3QAAAAWVlV/nOSnFzjif3X3H83qsyQnDWQuPr3Fcoz2PHFqCwAAAACA8zeyR1bGX3i53UZ2WhstAAAAAMAuUlWXSfK6JNcYPOKrSe7Y3f8xr9VUo7u2e7IBAAAAAHaAqjo0yTOyteciPrK7v7acRruG/Xxz9nMAAAAAYKf76qRz/qm7T5l01sK6+61JPjIQrSTHTKphO9+c7RwAAAAAWCtVdbUkz8zGhrxVX0typ+7+g+4+Z2qx89HdL0vyfUk+MHjE7ZI8fl6jfdjON2c7BwAAAACYyx69uZl79EkDGdcXAAAAAADYb919Qne/vLt/s7vv2t2XTnK9JI9O8ookZyzx42+R5FFLPB8AAAAA2E/dfWo2nuEy4rITqwAAAAAAJEm6+7SMvwPyMjO7rKFFvv8vTmsBAACslT2rLgAAALCZqvrdLPZwij/o7v8zqc4yfXkgc+T0Fssx2nPkmgAAAAAAjBjdI3fzTmujBQAAAADYJarq0klek+S7Bo/4epI7d/d7ppWaz9a/OXs/AAAAALAuHp/ku7fw9S/p7n9aVpldxH6+Ofs5AAAAALCjdfeZSU6acNQ/TDhjttFON5v0+bbzzdnOAQAAAIB18/QkRw3kvp7kjt392rl1Llx3fyLJbZJ8aPCIJ1TVtacVOpftfHO2cwAAAACAuezRm5u5R4+c5foCAAAAAAAL6e4PdveTuvvOSb4jyQOSvD5JL+HjnlBVl1rCuQAAAADA1n16MHfZqS0AAAAAAM71mcHcgb5bLvL9f2laCwAAYK3sWXUBAACAb1VVv5HklxY44qnd/dhZfZbsKwOZi09vsRyjPUeuCQAAAADAiNE9cjfvtDZaAAAAAIBdoKoumeQ1Sa43eMSpSe7a3W+f12opbP2bs/cDAAAAADteVV0/ya9sIfL1JA9fUp3dxn6+Ofs5AAAAALAOvrxg/tQkb5pRZLJXDea+d9Ln2843ZzsHAAAAANZGVf1YkqMHouckuVd3v3Nypf3W3V9OcockXxiIH5rkKXMbJbGdnx/bOQAAAADAXPbozc3co0fOcn0BAAAAAIBpuvvE7v6b7j46yXcm+fMkp038iKOSPG7ieQAAAADAuM8M5i43tQUAAAAAwLk+O5i77NQW62f0+z8zyQkziwAAAOtjz6oLAAAAfLOqekKSJyxwxDOSPGJSne3w5YHMJaa3WI7RniPXBAAAAABgxOgeedTMEks08uJIGy0AAAAAwJqrqkskeVWS7xk84vQkx3b3cfNaLc1u3/rdkw0AAAAA7EpVdVA2nhFyyBZij+/uTy+p0m5jP9+c/RwAAAAAWAdfWTD/5u4+Y0qTud6R5BsDue+pqoMnfL7tfHO2cwAAAABgLVTVIUl+YzD+G939mpl9RnT3fyW5f5IeiN+uqn5wciXb+eZs5wAAAAAAc9mjNzdzjx45a7T3dtsJ1xcAAAAAANiC7v5od/90kmsl+auM/R7FZn6iqi426SwAAAAAYNxnBnNXm9oCAAAAAOBco7vltaa2WD+j3/8nuvvsqU0AAIC1sWfVBQAAAP5bVf1Sxl9ymiT/kOSh3T3rwRjb4SsDmcOq6qjZRZbgsoO5kWsCAAAAADBidI+8zNQWS1BVl0xy6EDURgsAAAAAsMaq6uJJXpnkewePOCvJ/+juV81rtVS7duvfa/Se7K9ObQEAAAAAMN/PJ7nJFr7+7UmeuqQuu5H9fHP2cwAAAABgHXx5wfy7prSYrLvPTPLegejhSa40oYLtfHO2cwAAAABgXfx4kqsO5P4jyW/NrTKuu1+b5FmD8cdPrJLYzs+P7RwAAAAAYC579OZm7tEj1/iwqjpqYodlGb2+3ssKAAAAAAAr1t2f6e4HJblDkk9POPLiSR444RwAAAAAYDGje99lqupSU5sAAAAAAGz4zGDuUlX1HVObrJfrDOY+NrUFAACwVvasugAAAECSVNUvJPndBY54QZIHdPc5kyptly8O5kYf9r2dLjeY+9LUFgAAAAAA589Ge142WgAAAACANVVVRyZ5RZLvGzzi7CT37+4Xz2u1XN19ZpITB6LrsPUnY3v/17r7rOlNAAAAAAAmqaprJfnfW4icmeSha/hMkZWxn2/Kfg4AAAAArIvPLZj/wJQWy/H+wdyVFv1g2/mmbOcAAAAAwDr5mcHcL+7diHeSX05yykDu9lV1tVklbOebsp0DAAAAAExmj97U7D3ae1nPy3tZAQAAAABgh+ju1ya5SZK3TDjufhPOAAAAAAAW8+EFst89rQUAAAAAwLn+Y4Hsdaa1WCNVdUiSaw7GPzqzCwAAsF72rLoAAAAHhu5+Q3eXP0v5c+yq/34XVVWPSvLEBY54eZIfWdMXV35qMLcODyQf7fjJqS0AAAAAAM6fjfa8bLQAAAAAAGuoqi6a5GVJbjF4RCf5n939nHmtts3I3r8OW38y1tPWDwAAAADsWFVVSZ6e5IgtxP6gu9+/pEq7mf18X/ZzAAAAAGBdfHzB/H9OabEco92uNOnzbef7sp0DAAAAAGuhqm6Q5HsHoh/KxvNYdpTuPiHJXw9EK8kDJtexne/Ldg4AAAAAsBz26H3N3qO9l/W8bP4AAAAAALCD7P1dimOSvHnBo25RVd8xoRIAAAAAMO7fFshed1oLAAAAAIBz2S237ppJDhnMfnBmEQAAYL3sWXUBAADgwFZVP5vkjxc44nVJ7tXdZ0yqtN0+PpjbzQ8kH70mAAAAAABbZaM9LxstAAAAAMCaqaqLJPnnJD+wwDE/3d1/PanSdhvZti8zvcVkVVVJRl7yaOsHAAAAAHay6yW59Ra+/qNJfmNJXXY7+/m+7OcAAAAAwLpYdM/8ryktlmO02xUnfb7tfF+2cwAAAABgXRw7mPvz7u6ZRSb6s8HcXae2sJ1/K9s5AAAAAMBy2KP3NXuP9l7W87L5AwAAAADADtPd30hyjySfXOCYPUnuNKcRAAAAADDoI0m+Ppi90cwiAAAAAAB7fSTJyYPZm80sskZuukD23dNaAAAAa2fPqgsAAAAHrqr6mSR/usARb05y9+4+bVKlVRh9+PbVprZYjpGOX+3uE6c3AQAAAADYRHd/NcnIJrlbN9rESyMBAAAAANZKVV0kyUuT/OACxzy6u582qdIqjGzbh1fV5aY3mesKSQ4dyNn6AQAAAICd7KAtfv1PrvlzRVbJfr4v+zkAAAAAsC6OXyB7TpITZhVZgs8N5i426fNt5/uynQMAAAAA6+LOA5lO8vzZRWbp7vcl+chA9Hur6tITq9jO92U7BwAAAABYDnv0vmbv0aPn7db3sn61u0feUwsAAAAAACxZd38lyQMWPObmM7oAAAAAAGO6u5O8ZzB+m3lNAAAAAAA27N0t3zsYv/XMLmtk9Ps+M8n7ZhYBAADWy55VFwAAAA5MVfWwJE9Z4Ih3JLlLd39jUqVVGX0g+bWmtliOaw5kvIAUAAAAANhuI7vkbt1oEzstAAAAAMDaqKojkrw4yW0XOOZXuvtJcxqtzG69J9vWDwAAAACQvK6qetV/kvyvwf4fH/zMJ024dvbzfdnPAQAAAIB1cfwC2VO6++xpTeb7+mDuIpM+33a+L9s5AAAAALDjVdWhSW48EP1Ad392dp/JXjmQqSQ3mdjBdr4v2zkAAAAAwHLYo/c1e4/erdc3GbvG9n4AAAAAANjBuvu4JM9Z4IibzeoCAAAAAAz718Hcd1bV5ac2AQAAAADY8G+DuatX1RWnNlkPtxrMfaC7T5/aBAAAWCt7Vl0AAAA48FTVQ5P8WTZe5jniPUnu1N0nTSu1It19YpKvDkRHH6i+LarqsCRXGoh6IDkAAAAAsN1GdskrV9Uh05vMNbIjf7m7vz69CQAAAAAA01XV4UlelOR2Cxzzv7v7dydVWqXRe5B39D3ZGe/nnmwAAAAAABL7+beynwMAAAAA6+JzSU4ZzJ42s8gSjPY7YtLn2873ZTsHAAAAANbB9ZIcOpB72+wiS/D2wdyNJnawne/Ldg4AAAAAsBz26H1N3aO7+8QkXx2I7ujrW1WHJbnSQNTeDwAAAAAAO98i79L97mktAAAAAIBRizzb5TazSgAAAAAAfJO3LpC99bQWa6CqLpPkOwfjb5rZBQAAWD97Vl0AAAA4sFTVQ5I8LUkNHvHBJHfo7pGHeO9UHxrI7OgHkie5Wsb+zfnvs4sAAAAAAFyIkY32oGzsoDvZyI5sowUAAAAAWANVdXiSFyW5wwLH/F53//qcRis3svUnO/+e7NF+9n4AAAAAABL7+beynwMAAAAAa6G7O8n7B+NnzOyyBKcP5g6b9Pm2833ZzgEAAACAdfBdg7n3TW2xHO8dzF1jYgfb+b5s5wAAAAAAy2GP3tcy9uiRa7zTr+/VkuwZyNn7AQAAAABgh+vuf8v471UcXlXfMbMPAAAAALBlr0py9mD2mJlFAAAAAAD2elWScwazd51ZZA0s8v2+aloLAABgLY08HA4AAGBIVT0oyV8mqcEjPpzk9t39pWmldoZ/G8hcrqouPb3JPDcYzP3r1BYAAAAAABduZKNNxnfQpdv7sOfLDERttAAAAAAAO1xVHZbkBUnuuMAxT+7uX55UaSf4WJKTBnI7duvfa6TfiUmOn10EAAAAAIC1ZD8/l/0cAAAAAFg37x7MHTq1xXyHDeZOn/T5tvNz2c4BAAAAgHVxpcHcJ2aWWJJPDuZGr8lmbOfnsp0DAAAAACyPPfpcy9qjR97LermquvT0JvOM/v17LysAAAAAAKyHFy2QvfK0FgAAAADAlnX3V5K8bTB+bFUdPrMPAAAAAEB3fznJOwfjdzvAdsv7DubOTPLGmUUAAID1s2fVBQAAgANDVT0gyf9LUoNHHJ/k6O7+/LxWO8boQ7i/d2qLuW4ymBt5ODsAAAAAwCJstOey0QIAAAAA7GBVdWiS5ye50wLH/EV3P2pOo52huzvJewaiO3nrT8b6vWfv9QAAAAAA4ABnP9+H/RwAAAAAWDfvHszt9Je4jvY7ZcaH2873YTsHAAAAANbFdwzmPje1xRJ090kZ28AvPbGD7fxctnMAAAAAgCWxR+9jWXu097Key3tZAQAAAABgPbx1geylprUAAAAAAEb982Du4kl+aGYRAAAAAIC9Xj6Yu1iSO80sslNV1bclOXow/pbuPnlmHwAAYP3sWXUBAABg96uq+yd5Zsb/DfKpJEd392fntdpRRh9IfuOpLeYaeVj6V7r7E7OLAAAAAABckO7+eJKvDkR320abjO/VAAAAAAAsWVUdmuR5Wexh4M9K8lNTCu08Ixv3ZavqctObTFBVV0ryHQNRWz8AAAAAAN/Mfr7Bfg4AAAAArJt3D+YuUlUHTW0y15GDuVMmdrCdb7CdAwAAAADr4iKDuZnb8jKN9Dxicgfb+QbbOQAAAADActmjNyxrjx49d7e9l/Ur3f2J2UUAAAAAAICleP8C2dHfNwEAAAAA5vnnBbI/Oq0FAAAAAMC5Xr5A9kemtdjZ7p3kkMHsc2cWAQAA1tOeVRcAAAB2t6q6X5K/yvi/P/4rydHd/cl5rXacDyU5fSB309lFZqiqytjD0v9tdhcAAAAAgP30noHM9+7dQ3eimwxkTs/GXg0AAAAAwA5TVYckeU6Suy5wzD8keUh395xWO87ovcg78p7sjG39SfKvU1sAAAAAALDu7Ocb7OcAAAAAwLr5YJLTBnJ7klxmcpeZLj+YO3FiB9v5Bts5AAAAALAuDhvMjbwbchVGfh4wek3Oj+18g+0cAAAAAGC57NEblrVHfyhjPx/Zkdd377tibzwQHf3vDAAAAAAA2H6fS3LGYPYiM4sAAAAAAFvX3e9L8rHB+N2qavSZ5QAAAAAA5+edST4xmL1XVV1uYped6mcGc2cn+aeZRQAAgPW0Z9UFAACA3auq/keSv0ly0OARX0hyu+4evdF9LXT3mdn4wdhW3bqqduK/626c5KiB3Fsn9wAAAAAA2F9vGchcKskNZhdZVFUdlOTWA9F3dPdZs/sAAAAAALCYqjo4yT8muccCxzwvyQO6+5w5rXakka0/SW47tcU8Rw/m3JMNAAAAAMA3s59vsJ8DAAAAAGtl7zNA3jwYv/zMLpONvmD20xM72M432M4BAAAAgHVxxmDusKktlufwgcxpkzvYzjfYzgEAAAAAlssevWEpe3R3n5nknQPRW1fVntl9JrhxkqMGcvZ+AAAAAABYE93dSU4ajO/m9/MCAAAAwDp5+mDu0CSPnlkEAAAAAGDvvYnPHIwfkuThE+vsOFV16yQ3Goy/rrtPmNkHAABYTzvxwXUAAMAuUFX3TvJ3SQ4aPOLLSW7f3f8xr9WO9uqBzKUy/sOiZbr9YG7kGgAAAAAAzDC6T47uoct0k4y9NNJGCwAAAACww1TVwUn+Ick9FzjmpUnu191nzWm1M3X3x5J8fCC6E7f+ZKzX8d19/PQmAAAAAACsLft5Evs5AAAAALC+XjWY+66pLea69mDuk7MK2M6T2M4BAAAAgPVyymDuIlNbLM9Iz9FrsinbeRLbOQAAAADA0tmjkyx/jx55J+mlktxodpEJRv/evZcVAAAAAADWy2mDuW9MbQEAAAAAjHpmkjMHsw+rqqMmdgEAAAAASDZ2y3MGsw+rqsNnltlhfm6B7LNmlQAAANbbnlUXAAAAdp+qumeSZyc5ePCIrya5Q3d/YF6rHe81g7md+ND3kU4nJ3nb7CIAAAAAAPvpXzL2gOTdstEmXhoJAAAAALCjVNVBSf42yX0WOOaVSe7T3aMPHV83I/dkX6+qLju9yQKq6gpJrj0QtfUDAAAAALAZ+zkAAAAAwHp65WDu+lNbzDXa7ZNTW9jObecAAAAAwDo5dTB3uaktlqCqLpHkIgPRU2Z3ie3cdg4AAAAAsD3s0cs1cn2T3fNe1pOTvG12EQAAAAAAYKmOGMx9Y2oLAAAAAGBId38hyYsG40cm+bmJdQAAAAAA0t2fTvKqwfilkzx8Yp0do6qun+TYwfjnkzx3XhsAAGCd7Vl1AQAAYHepqrsn+cckBw8ecVKSY7r73+a1WgvvyMb3vlV3m11kEXtf6nqrgegbuvvM2X0AAAAAAPbH3n3yjQPR21TVkbP7LGhkNz4xyTtnFwEAAAAAYExV7Uny10l+eIFjXp/knt19+pxWa+HVg7m7Tm2xuNF7xEe/fwAAAAAAdjf7OQAAAADAGuru9yX53ED0prO7zFBVhyb5noHol7v785Pr2M4BAAAAANbHlwdzV51ZYkmuOpj74swSe9nOAQAAAADYDvbo5XpHkpMGcqPfz1JU1SWS3Gog+oa976YFAAAAAADWx5GDuZGfiQAAAAAAy/G0BbK/VFVXmdYEAAAAAGDDXy6QfUJVXWpak53jiUn2DGb/3PMcAACA/zb6DwsAAIDzqKq7JHlukkMGjzg5yQ919zvntVoP3X1WktcNRG9ZVVee3WcB90py2EDuVbOLAAAAAABs0chOeXiSYyf3GFZVV0vyfQPR13b32bP7AAAAAACwdVW1J8kzk/zoAse8OcnduvvUOa3WxmuTjOzd95tdZEEjfc7O2P3oAAAAAADbqrvf0921bn+S/O/Bb/lqg5/5qImX3X4OAAAAALC+XjGQuWVVHT69yeJunuQiA7llPK/cdg4AAAAAsD4+MZi7wcwSS3LDwdwnJnb4b7ZzAAAAAAC2gz16ibr7rMHPuGVVXXl2nwXcK8lhA7mRd9ICAAAAAAArUlVXTHLoYPwTE6sAAAAAAAvo7tckeddg/IgkT5rXBgAAAAAgSfLCJB8azB6V5NemNdkBquqOSe44GD8tyZ9PrAMAAKy5PasuAAAA7A5VdUyS52X8wROnJrlrd79lXqu189yBTCX5kdlFFjDywPdzkjx/dhEAAAAAgC16Xjb2yq3aSS/mHO0ysk8DAAAAADBZVVWSpyd5wALHvD3JD3X3N+a0Wh/d/ZUkrxuI3qaqLju7z4i9L4O81UD0Nd391dl9AAAAAABYf/Zz+zkAAAAAsNb+fiBzeJIfnF1kgmMGc++Y2iK2c9s5AAAAALBmPjGYu/nMEksy2vETM0sktnPbOQAAAADA9rBHb8sePfJu0kryI7OLLGDkvaznJHn+7CIAAAAAAMBSXWcw9/Xu/uLUJgAAAADAoh6/QPbYqrr7tCYAAAAAwAGvu89J8r8XOOKnq+qGk+qsVFUdnuRJCxzxf7v7C5PqAAAAu8CeVRcAAADWX1XdLskLkxw2eMRpSe7R3W+cVmo9vTDJyQO5B1VVTe6yZVV1lSRHD0Tf0N2fnd0HAAAAAGAruvszSY4biN5h7wsxV6qq9iR50ED05CQvntsGAAAAAICt2ns/8NOSPHiBY96d5Jju/vqcVmvp7wYyoxv7Mjwoyci94SPfNwAAAAAABw77OQAAAADAenpdks8M5O43u8gi9t4vP9rpLTO7fBPbOQAAAADAevhYkh7IXa+qrjC7zGR3Gsx9ZGqLc9nOAQAAAADYDvbo5XphNt5RulUP2nvv/0pV1VWSHD0QfUN3f3Z2HwAAAAAAYKluO5j72NQWAAAAAMDCuvtVSd6wwBHP3Hsv8a5XVd9TVXdYdQ8AAAAAOAA8N8n7B7OHJPm7qjp8Yp9V+b0k1xnMnpzkdyd2AQAAdoE9qy4AAACst6q6TZIXJxn9QcwZSe7d3a+e1Wlddfcp2Xgo+VZdJ8md57YZ8qgkBw3k/nZyDwAAAACAUSN75cFJHjm7yIC7JbnWQO75e/dpAAAAAABW6ylJHrpA/n1J7tjdJ07qs66en2Rk9/7ZqjpkdpmtqKrDkjx8IHpKkhdMrgMAAAAAwO5iPwcAAAAAWEPdfU6SvxuI3quqjpzdZwG3TnK1gdxJSd4wt8r/z3YOAAAAALAGuvukJP85EK0k95pcZ5qqummSqw5EO8k75rb5/9nOAQAAAADYDvboJdr7btIXDkSvk+TOc9sMeVSSgwZyI++iBQAAAAAAVuuHBnPvmtoCAAAAAJjlVxbIXjLJc6vq0FlldqKqulOSNyW5wqq7AAAAAMBu192d5H8tcMR1k/zupDorUVW3S/KIBY54cnd/cVYfAABgd9iz6gIAAMD6qqpbJXlpkosMHnFWkv/R3S+b12rtjT6c+xemttiiqrpEkocMRE9L8rzJdQAAAAAARv1TNnbLrfrJqjpydpktGt2JvTQSAAAAAGDFqurJSX5mgSM+lOT23f2VSZXWVnd/PcmLB6JXSPIjk+ts1f2TXHYg98LuPnl2GQAAAAAAdg/7OQAAAADAWvvrgcyRSR42u8gCHjOYe3l3nzG1yV62cwAAAACAtfIvg7mfmtpirocP5v6ju786tcletnMAAAAAALaDPXpbjL6jdPSdqFNU1SWSPGQgelqS502uAwAAAAAALFFV3SzJ9wzG3zizCwAAAAAwR3e/LcmzFzjipkmeVlU1qdKOUlUPS/KSbDxDHgAAAADYBt39giSvXeCIR1bVfWf12U5VdaUkf5NkdHP9VJLfmdcIAADYLfasugAAALCequoWSV6W5KKDR5yd5Ee7+0XzWu0Kr0nysYHc0VV19OwyW/DLGbu5/h+6+6TZZQAAAAAARnT3iRl72Molkjxmcp39VlXHJLnVQPSjWeyXNAAAAAAAWFBVPTHJIxc44sNJbtfdX5xUaTf488Hcr1XVoVOb7KeqOjzJrw7GnzazCwAAAAAAu5b9HAAAAABgDXX3h7Lx3Oqt+vmqGn1++DRVdeMkdxmMP29ml03YzgEAAAAA1sNbBnPXrarRjXppqurKSe43GH/zzC6bsJ0DAAAAALAd7NHL9ZokHxvIHV1VR88uswW/nOTIgdw/dPdJs8sAAAAAAMCqVdXBq+6wRI9dIPvGaS0AAAAAgNkekeSEBfIPSvKUOVV2hqo6oqr+bzbuo9/Nuy8AAAAA7FQ/meSUwWwl+euquuXEPktXVUcmeWmSyy1wzCO7+xuTKgEAALvInlUXAAAA1k9V3TTJK5JcbPCIc5I8oLufO6/V7tDdZyf5w8H4k6rqoJl99kdVXT3JoweineQPJtcBAAAAAFjUH2Rjv9yqX6yqq8wuc2H2PvT6jwfjT+zuc2b2AQAAAABg/1XVbyf5hQWO+FiSo7v785Mq7Qrd/cYk7xiIXjPJo+a22W+/kOSqA7m3dfdxk7sAAAAAALAL2c8BAAAAANbabw9kLpfkCbOLbEVVVZKnDMY/n+SF89qcl+0cAAAAAGBtvCTJ2YPZJ1bVITPLTPCHSQ4dzL5gZpFvZTsHAAAAAGA72KOXq7vPzsbPI0Y8qaoOmtlnf1TV1ZM8eiDa2XgHLQAAAAAA7EaPqqpnVNWVVl1kpqq6dZJ7D8bf292fntkHAAAAAJinu7+U5KcWPOZnquqPZ/RZtaq6XpJ3JvnpVXcBAAAAgANVdx+f5NcWOOLwJC+qqmtNqrRUe5/H/dwkN1jgmBd294smVQIAAHaZPasuAAAArJequlGSVya5+OARneQh3f3381rtOs9McsJA7vpJfm5yl/3xp0kOG8i9uLv/fXYZAAAAAIBFdPeHkrx0IHpEkj+ZXGd//HyS6wzkvpDkryZ3AQAAAABgP1XVryf5lQWO+GSSo7v7s3Ma7Tq/N5h7QlVdZWqTC1FVV8/4fwuj3ycAAAAAAAcm+zkAAAAAwBrq7tcnedtA9Oer6oaT62zFTye5xWD2z7v7zJllzoftHAAAAABgh+vuE5K8cTB+7SSPn1hnIVV1zyT3GYx/JclrJtY5P7ZzAAAAAAC2gz16uZ6Z5ISB3PWT/NzkLvvjT5McNpB7cXf/++wyAAAAAACwQxyc5MFJPlxVT6yqS6660KKq6qgkf7XAEYtkAQAAAIBt0N0vSPL3Cx7zqKp6TlVddEan7VYbHp7knUm+e9V9AAAAAIA8KRt73ahLJzmuqm4wp85yVNVFkrw4yTELHPP5JD85pxEAALAb7Vl1AQAAYH1U1fWTvDrJtw0e0Ul+qrufNa3ULtTdpyX5k8H471TV987sc0Gq6ueT/NBg3AtIAQAAAICdanS/vHtVPWJqkwtQVTdL8puD8Sfv3aMBAAAAANhmVfW4JP9rgSM+k+To7v7UpEq70QuTfHggd2SSZ1fVIXPrbK6qDk3yj0lGHt7+n0leNLcRAAAAAAC73AtjPwcAAAAAWFe/PZA5NMlzq+ris8tcmKq6UZI/GoyfluRpE+tckBfGdg4A/x979xp3bVnW+/5/DEBwr2gYSw1USEzUTCTSKMNthpvVTC01kcpsLkgrymVZlsuMyixSW62ltdzndDNbbrJUECVMslSaCG5CBTe4TwVRtg/HfDFuJpjy8DxjXOM+7833+/mMD765jvP33O887nGfFwAAAGwGf7PEs79TVQ+YrGRBVXVQkpcsMeJ13X3FVD078YbYnQMAAAAAsHpviH30yqy9q/T5Cz5+YlXda8qenamqX0vy0AUfX/TdswAAAAAAsJnsk+SEJOdV1R9W1XePDlpEVe2d+e9dDlxwxJVZ7u9LAAAAAID1c3ySjy0541FJ3lNVd5igZ91U1WFJzkjywsz3uwAAAADAYN29I8ljk3xtiTHfneS0qvrhSaImVlW3SHJykocsMeaqJI/v7i9NEgUAAGxJs9EBAADA5lBVd0lySpJbLTHmKd39oomStrrnJ/ncAs/dIMlrq+q7Ju75Nmu/aPvDBR9/c3efMWUPAAAAAMBUuvufkrxlwcefW1U/NGXPd1JVt8n8cuhFXgL62SQvmLYIAAAAAIBdUVUnJHnOEiM+l+So7v7ERElbUndfleQZCz5+RJLnTZizMyclOWzBZ3+ru3vCFgAAAAAAtjj7cwAAAACAzau735zk1AUePSjJf6+qvSdOuk5VdUCSNyVZ9MyTuvvzEyZdJ7tzAAAAAIBN41VJvrjgs7Mkf1tV956wZ7dU1e2SnJzk5guO6CR/Nl3RTg6yOwcAAAAAYB3YR6+L52d+r/3uukGS11bVd03c822q6oeT/OGCj7+5u8+YsgcAAAAAADa4myX5P5OcV1V/WVV3HB20q6rqRklen+RBS4x5VXd/YaIkAAAAAGCFuvurSY5O8rUlR909yb9V1XFVNVs6bIWq6tZV9aIk703yg6N7AAAAAIBv1d0fS/IzSa5aYswtkpxcVcdNEjWRqvqBzHeT91ly1HO6+x0TJAEAAFvYhv4CBwAAsDFU1cFJ3pFkvyXGnNDdL5woacvr7q8nedqCj98x81+C7Tth0reoqsOTvCXJXgs8fmmSX5k0CAAAAABgek9NctkCz+2d5B/W/jBgJarq1klOSXLggiN+o7svnq4IAAAAAIBdUVXHJ/mTJUZ8Mcn9u/vciZK2tO5+feb79EX8clU9e8qe/6yqTkzyXxd8/OTu/tspewAAAAAA2B7szwEAAAAANrXjklyxwHMPSPKaqtpn4p5vU1UHZL6Hvt2CI76U5MTpiq6f3TkAAAAAwMbX3Zcm+fMlRtw0ydur6qiJknZZVd0lyT9m8TvFk+SN3f3RaYqun905AAAAAADrwT56tbr760metuDjd0xyclXtO2HSt6iqw5O8JcleCzx+aZJfmTQIAAAAAAA2j32S/FKSc6vqzVX1E1U1Gx11XarqwCTvTnL0EmOuSPKsSYIAAAAAgHWxdlfKTyW5cslRN0vywiTvqap7Lh02sarav6r+OMknkjwpyYbd1wIAAADAdtfdb03yW0uO2SfJC6vqjVV1qwmyFlZzv5rkjCTfu+S41yb53eWrAACArc4XIwAAgJ2qqjskOTXJ/kuM+c3u/tOJkraN7n5lktMXfPweSd5RVQdMmJQkqaoHJnlb5n8csIjndvcnJkwCAAAAAJhcd388yZ8s+PjNM39x5I9NmJQkqao7Zr63P3TBEad3999MmAQAAAAAwC6oqiclef4SI/4jyf27+8MTJW0XT8n8pYmL+O2qem5V7TFlUFXtWVUnJXn6giOuyPzfBQAAAAAAi7I/BwAAAADYhLr7I0met+Djj0jyzqr67gmTvkVVHZHkvUkOWmLMb3b3RRMl7Q67cwAAAACAje8vknxxiedvkeStVXVCVc2mSdq5qnpMkjOS3GGJMTuSPGuaot1idw4AAAAAwHqwj16h7n5lktMXfPweSd5RVQdMmJQkqaoHJnlbkpstOOK53f2JCZMAAAAAAGAzmiU5OsnfJTmvqn6nqpb5+4VJVdUeVXV8kg8mueeS417c3edNkAUAAAAArKPufkeS4yYa94NJ3l9Vb66q+040c2FVdZeqelGS85L8RpKbDk4CAAAAAHZBd/9RkldPMOrhST5SVb9cVXtNMG+3rO1J35PkT5PcYMlx70lyTHf30mEAAMCWty4v/AEAADa1Y5LcbskZJ1ZVb9LPuyb4GS7j+CSXL/js9yf5QFU9bIqQtcven5nkrZm/THYRH09y4hQ9AAAAAADr4A+SLPqCxX2TnFxVvzXVyzmr6pFJ3p/kbguOuDzTXRwDAAAAAMDueUaSWuL5WyX54Ab4fvWinydO82PcPd394STPW2LEryc5papuO0VPVd0+yalJnrrEmD/p7o9M0QMAAAAAwPZkfw4AAAAAsKk9O8m5Cz57RJKzq+qnJ+xJVe1dVb+f5PQkt1li1N91919PlLVb7M4BAAAAADa+7r4w833sMvZK8idJ/rGq7r181XdWVQdV1X9P8t+S3HzJcS/o7n9bvmr32J0DAAAAAFyjqt61iru7k7xkwaR3rugu8ZdO+GPbJfbR6+L4zN9luojvT/KBqnrYFCFVtWdVPTPJW5PcYsExH09y4hQ9AAAAAACwhXxPkv8rySeq6l+r6jeq6sARIWu/D3hsknOSvCDJTZYc+ckkv7l0GAAAAAAwRHe/KMkJE42rJEcneXdV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Exploratory Visualization:\n\nThe point of this competition is to predict if an individual will survive based on the features in the data like:\n \n * Traveling Class (called pclass in the data)\n * Sex \n * Age\n * Fare Price\n\nLet’s see if we can gain a better understanding of who survived and died. \n\n\nFirst plot a bar graph of those who Survived Vs. Those who did not.\n"},{"metadata":{"id":"-QXHr82g3fA-","trusted":true},"cell_type":"code","source":"plt.title('Distribution of Survival')\nplt.bar(['Not survived', 'Survived'], surv)","execution_count":9,"outputs":[{"output_type":"execute_result","execution_count":9,"data":{"text/plain":"<BarContainer object of 2 artists>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"metadata":{"id":"-0wome_M3fA-"},"cell_type":"markdown","source":"### Next tease more structure out of the data,\n### Break the previous graph down by gender\n"},{"metadata":{"id":"35p8zc7s3fA_","trusted":true},"cell_type":"code","source":"fig = plt.figure(figsize=(18,6))\n\n# create a plot of two subsets, male and female, of the survived variable.\n# After that call value_counts() so it can be easily plotted as a bar graph. \n# you can use kind='barh' argument. It is just a horizontal bar graph\nsex = ['male', 'female']\nmales, females = [len(df[(df['Sex']==i)]) for i in sex]\n\nsurv_by_sex = dict()\nfor i in sex:\n    surv_by_sex[i] = len(df[(df['Survived']==1) & (df['Sex']==i)])\n\nbarWidth = 1\nr = [0,1]\nnames = ['Males','Females']\n    \ndef plot_bars(bars1, bars2):\n    a = plt.bar(r, bars1, color='#7f6d5f', edgecolor='white', width=barWidth)\n    b = plt.bar(r, bars2, bottom=bars1, color='#557f2d', edgecolor='white', width=barWidth)\n    return [a, b]\n\n\nplt.subplot2grid((1,2), (0,0))\n\nbars1 = [surv_by_sex.get('male'), surv_by_sex.get('female')]\nbars2 = [males-bars1[0], females-bars1[1]]\n\na, b = plot_bars(bars1, bars2)\n\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by sex')\nplt.legend((a, b), ('survived', 'not survived'))\n\n\nplt.subplot2grid((1,2), (0,1))\n\nbars1 = [surv_by_sex.get('male')/males, surv_by_sex.get('female')/females]\nbars2 = [(males-surv_by_sex.get('male'))/males, (females-surv_by_sex.get('female'))/females]\n\na, b = plot_bars(bars1, bars2)\n\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Gender ratio')\nplt.legend((a, b), ('survived', 'not survived'))\n","execution_count":10,"outputs":[{"output_type":"execute_result","execution_count":10,"data":{"text/plain":"<matplotlib.legend.Legend at 0x7f9f81fabf98>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1296x432 with 2 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"metadata":{"id":"sBEcGFBI3fBA"},"cell_type":"markdown","source":"Add your summaryabout recieved data for raw value counts and proportionally\n\n#### Try to go down even further:\nCan we capture more of the structure by using Pclass? Here try to bucket classes as lowest class or any of the high classes (classes 1 - 2). 3 is lowest class. Break it down by Gender and what Class they were traveling in.\n"},{"metadata":{"id":"r4jXC0wM3fBA","trusted":true},"cell_type":"code","source":"# distribution of men and women in the third class\nthird_class_by_sex = dict()\nfor i in sex:\n    third_class_by_sex[i] = len(df[(df['Sex']==i) & (df['Pclass']==3)])\n    \ngenders = [males, females]\n#print(genders)\n\n# distribution of men and women in the 1-2 classes\nhigh_classes_by_sex = dict()\nfor i in range(2):\n    high_classes_by_sex[sex[i]] = genders[i] - third_class_by_sex.get(sex[i])\n#print(third_class_by_sex, high_classes_by_sex)\n\n# the number of survivors in the third class by sex\nsurv_third_class = dict()\nfor i in sex:\n    surv_third_class[i] = len(df[(df['Survived']==1) & (df['Pclass']==3) & (df['Sex']==i)])\n#print(surv_third_class)\n\n# the number of survivors in the 1-2 classes by sex\nsurv_high_classes = dict()\nfor i in sex:\n    surv_high_classes[i] = surv_by_sex.get(i) - surv_third_class.get(i)\n#print(surv_high_classes)\n\n\nfig = plt.figure(figsize=(10, 10))\nnames = ['Males','Females']\n\n# Number of male and female survivors by class\nplt.subplot2grid((2,2), (0, 0), colspan=2)\n\n\nbars1 = [surv_third_class.get('male'), surv_third_class.get('female')]\nbars2 = [surv_high_classes.get('male'), surv_high_classes.get('female')]\n\na, b = plot_bars(bars1, bars2)\n\nplt.title('General statistics of survivors by sex')\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by class and sex')\nplt.legend((a, b), ('high classes', 'third class'))\n\n\n# Number of male and female survivors in the third class\nplt.subplot2grid((2,2), (1, 0))\n\nbars1 = [surv_third_class.get('male'), surv_third_class.get('female')]\nbars2 = [third_class_by_sex.get('male')-surv_third_class.get('male'),third_class_by_sex.get('female')-surv_third_class.get('female')]\n\na, b = plot_bars(bars1, bars2)\n\nplt.title('Third class statistics')\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by sex in third class')\nplt.legend((a, b), ('survived', 'not survived'))\n\n\n# Number of male and female survivors in the high classes\nplt.subplot2grid((2,2), (1, 1))\nbars1 = [surv_high_classes.get('male'), surv_high_classes.get('female')]\nbars2 = [high_classes_by_sex.get('male')-surv_high_classes.get('male'),high_classes_by_sex.get('female')-surv_high_classes.get('female')]\n\na, b = plot_bars(bars1, bars2)\n\nplt.title('High classes statistics')\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by sex in high classes')\nplt.legend((a, b), ('survived', 'not survived'))","execution_count":11,"outputs":[{"output_type":"execute_result","execution_count":11,"data":{"text/plain":"<matplotlib.legend.Legend at 0x7f9f81ea7a58>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 720x720 with 3 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"metadata":{"id":"yEZPJBNqFWfq"},"cell_type":"markdown","source":"Try to get a conclusions of the recieved data"},{"metadata":{"id":"XrSaN1KQ3fn1"},"cell_type":"markdown","source":""},{"metadata":{"id":"yuV-b-Jvt1PI"},"cell_type":"markdown","source":"## Model train and evaluation\n\n\nFor all model at the end, additionaly generate:\nNormalized Confusion matrix as:\n```\n\t\t                 Predicted\n                     Survive\tNon-Survive\nActual    Survive        0.7       0.3\n          Non-Survive    0.2       0.8\n```\nAnd metrics:\n```\n          Metrics\nRecall    0.2232\nPrecision 0.0597\nAccuracy  0.2100\nF1 score  0.0398\n```"},{"metadata":{"id":"7MLXksFt3fBD"},"cell_type":"markdown","source":"## Supervised Machine Learning\n#### Logistic Regression:\n\n\n\nTask is to predict a binary outcome. That is, it wants to know whether some will die, (represented as a 0), or survive, (represented as 1). A good place to start is to calculate the probability that an individual observation, or person, is likely to be a 0 or 1. That way we would know the chance that someone survives, and could start making somewhat informed predictions. If we did, we'd get results like this:: \n\n![pred](https://raw.github.com/agconti/kaggle-titanic/master/images/calc_prob.png) \n\n(*Y axis is the probability that someone survives, X axis is the passenger’s number from 1 to 891.*)\n\nWhile that information is useful it doesn’t let us know whether someone ended up alive or dead. It just lets us know the chance that they will survive or die. We still need to translate these probabilities into the binary decision we’re looking for. But how? We could arbitrarily say that our survival cutoff is anyone with a probability of survival over 50%. In fact, this tactic would actually perform pretty well for our data and would allow you to make decently accurate predictions. Graphically it would look something like this:\n\n![predwline](https://raw.github.com/agconti/kaggle-titanic/master/images/calc_prob_wline.png)\n\nWhat are the odds that setting that cutoff at 50% works? Maybe 20% or 80% would work better. Clearly we need a more exact way to make that cutoff. What can save the day? In steps the **Logistic Regression**. \n\nA logistic regression follows the all steps we took above but mathematically calculates the cutoff, or decision boundary (as stats nerds call it), for you. This way it can figure out the best cut off to choose, perhaps 50% or 51.84%, that most accurately represents the training data.\n\nBelow, write down the process of creating a Logitist regression model with `LogisticRegression`, training it on the data, and examining its performance."},{"metadata":{"id":"deeYakrn3fBF","trusted":true},"cell_type":"code","source":"# instantiate and fit our model to the training data\n\nmodels = list()\n\ndef pr_data(data):\n    data['Sex'] = data.Sex.apply(lambda x: 0 if x==\"female\" else 1)\n    data['Embarked_C'] = data.Embarked.apply(lambda x: 1 if x=='C' else 0)\n    data['Embarked_Q'] = data.Embarked.apply(lambda x: 1 if x=='Q' else 0)\n    data['Embarked_S'] = data.Embarked.apply(lambda x: 1 if x=='S' else 0)\n    return data\n\ndf = pr_data(df)\n\ntest_df = pd.read_csv('test.csv')\ngs_df = pd.read_csv('gender_submission.csv')\n\ntest_titanic = pd.concat([gs_df, test_df], axis = 1)\ntest_titanic = test_titanic.drop(['Ticket', 'Cabin', 'PassengerId'], axis=1)\ntest_titanic = test_titanic.dropna()\ntest_titanic = pr_data(test_titanic)\n\nfeatures = ['Pclass', 'Sex', 'Age', 'SibSp', 'Parch', 'Fare', 'Embarked_C', 'Embarked_Q', 'Embarked_S']\nX_train = df[features]\nX_test = test_titanic[features]\ny_train = df['Survived']\ny_test = test_titanic['Survived']\n\nlogreg = LogisticRegression()\nlogreg.fit(X_train, y_train)\ny_pred = logreg.predict(X_test)\nmodels.append(logreg)\nprint(classification_report(y_test, y_pred))","execution_count":12,"outputs":[{"output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.94      0.93      0.94       204\n           1       0.89      0.91      0.90       127\n\n    accuracy                           0.92       331\n   macro avg       0.92      0.92      0.92       331\nweighted avg       0.92      0.92      0.92       331\n\n","name":"stdout"}]},{"metadata":{"id":"eqP3heYQ3fBF","trusted":true},"cell_type":"code","source":"# Plot Predictions Vs Actual\ndef conf_matrix(y_test, y_pred):\n    NCM = confusion_matrix(y_test, y_pred, normalize='true', labels = [1,0])\n    print('Normalized Confusion matrix \\n')\n    print(round(NCM[0][0], 2), ' \\t', round(NCM[0][1], 2))\n    print(round(NCM[1][0], 2), ' \\t', round(NCM[1][1], 2))\n\nconf_matrix(y_test, y_pred)","execution_count":13,"outputs":[{"output_type":"stream","text":"Normalized Confusion matrix \n\n0.91  \t 0.09\n0.07  \t 0.93\n","name":"stdout"}]},{"metadata":{"id":"5DKw49Rr3fBL"},"cell_type":"markdown","source":"### Support Vector Machine (SVM)\n\n\nThe logit model showed exactly where to draw our decision boundary or our 'survival cut off'. A linear line is okay, but can prediction be better? Perhaps a more complex decision boundary like a wave, circle, or maybe some sort of strange polygon would describe the variance observed in our sample better than a line.\n\nBelow implement a SVM model based on `sklearn.svm.SVC` and examining the results after the SVM transforms an equation into three different mathematical plains. The first is linear, and is similar to our logic model. Next is an exponential, polynomial, transformation and finally a blank transformation.\n"},{"metadata":{"id":"2XU5FihKRakX","trusted":true},"cell_type":"code","source":"svm = SVC(probability=True)\n\nsvm.fit(X_train, y_train)\ny_pred = svm.predict(X_test)\nmodels.append(svm)\nprint(classification_report(y_test, y_pred))\nconf_matrix(y_test, y_pred)","execution_count":16,"outputs":[{"output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.72      0.93      0.81       114\n           1       0.74      0.36      0.48        64\n\n    accuracy                           0.72       178\n   macro avg       0.73      0.64      0.65       178\nweighted avg       0.73      0.72      0.69       178\n\nNormalized Confusion matrix \n\n0.36  \t 0.64\n0.07  \t 0.93\n","name":"stdout"}]},{"metadata":{"id":"BwJyqyhF3fBN"},"cell_type":"markdown","source":"### Random Forest\n\nthe Random Forest technique is a form of non-parametric modeling that does away with all those equations created above, and uses raw computing power and a clever statistical observation to tease the structure out of the data. \n\n**How do they work?** A random forest algorithm randomly generates many extremely simple models to explain the variance observed in random subsections of our data. These models are like appraisal guesses. They are all awful individually. Really awful. But once they are averaged, they can be powerful predictive tools. The averaging step is the secret sauce. While the vast majority of those models were extremely poor; they were all as bad as each other on average. So when their predictions are averaged together, the bad ones average their effect on our model out to zero. The thing that remains, *if anything*, is one or a handful of those models have stumbled upon the true structure of the data.\n\nBelow implement your model of random forest with `RandomForestClassifier`, generating predictions form the resulting model, and then scoring the results."},{"metadata":{"id":"ekx9kVAOTOKk","trusted":true},"cell_type":"code","source":"rand_forest = RandomForestClassifier()\n\nrand_forest.fit(X_train, y_train)\ny_pred = rand_forest.predict(X_test)\nmodels.append(rand_forest)\nprint(classification_report(y_test, y_pred))\nconf_matrix(y_test, y_pred)","execution_count":17,"outputs":[{"output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.88      0.86      0.87       114\n           1       0.76      0.78      0.77        64\n\n    accuracy                           0.83       178\n   macro avg       0.82      0.82      0.82       178\nweighted avg       0.83      0.83      0.83       178\n\nNormalized Confusion matrix \n\n0.78  \t 0.22\n0.14  \t 0.86\n","name":"stdout"}]},{"metadata":{"id":"NT6kO9UQsQit"},"cell_type":"markdown","source":"# Additional tasks\n\n*   Plot ROC curve for implemented models\n*   Implement prediction using another model, such as the k-nearest neighbors algorithm, decision tree classifier, gaussian naive bayes, neural network etc. Or maybe try to use sklearn.model_selection.GridSearchCV based on already implemented models.\n\n\n\n"},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.tree import DecisionTreeClassifier\n\nclassifier = DecisionTreeClassifier(random_state=0)\nclassifier.fit(X_train, y_train)\ny_pred = classifier.predict(X_test)\nmodels.append(classifier)\nprint(classification_report(y_test, y_pred))\nconf_matrix(y_test, y_pred)","execution_count":18,"outputs":[{"output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.84      0.81      0.82       114\n           1       0.68      0.72      0.70        64\n\n    accuracy                           0.78       178\n   macro avg       0.76      0.76      0.76       178\nweighted avg       0.78      0.78      0.78       178\n\nNormalized Confusion matrix \n\n0.72  \t 0.28\n0.19  \t 0.81\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.naive_bayes import GaussianNB\n\nnb = GaussianNB()\nnb.fit(X_train, y_train)\ny_pred = nb.predict(X_test)\nmodels.append(nb)\nprint(classification_report(y_test, y_pred))\nconf_matrix(y_test, y_pred)","execution_count":19,"outputs":[{"output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.84      0.79      0.81       114\n           1       0.66      0.73      0.70        64\n\n    accuracy                           0.77       178\n   macro avg       0.75      0.76      0.76       178\nweighted avg       0.78      0.77      0.77       178\n\nNormalized Confusion matrix \n\n0.73  \t 0.27\n0.21  \t 0.79\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.metrics import roc_curve, roc_auc_score\nfrom sklearn import metrics\n\nfig = plt.figure(figsize=(10, 10))\n\nfor model in models:\n    y_pred_proba = model.predict_proba(X_test)[::,1]\n    fpr, tpr, _ = metrics.roc_curve(y_test,  y_pred_proba)\n    auc = metrics.roc_auc_score(y_test, y_pred_proba)\n    plt.plot(fpr, tpr, label = type(model).__name__+', auc='+str(auc.round(2)))\n    plt.legend(loc=4)\n\nplt.plot([0,1], [0,1], color='yellow', linestyle='--')    \nplt.title('ROC curves', fontweight='bold', fontsize=10)\nplt.xlabel('Flase Positive Rate', fontsize=8)\nplt.ylabel('True Positive Rate', fontsize=8)\nplt.show()","execution_count":21,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 720x720 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]}],"metadata":{"colab":{"collapsed_sections":[],"name":"Titanic_template.ipynb","provenance":[]},"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.6.15","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":4}
\ No newline at end of file

From 99a9eb66b332fc1b10c3242feaf768e765b36223 Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Fri, 4 Feb 2022 00:52:35 +0200
Subject: [PATCH 05/14] Delete first_commit.py

---
 first_commit.py | 1 -
 1 file changed, 1 deletion(-)
 delete mode 100644 first_commit.py

diff --git a/first_commit.py b/first_commit.py
deleted file mode 100644
index f8f41c4..0000000
--- a/first_commit.py
+++ /dev/null
@@ -1 +0,0 @@
-print("Hello!")
\ No newline at end of file

From ed74d2187cb477401afb6afadc5f46bab67a0636 Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Fri, 4 Feb 2022 00:52:48 +0200
Subject: [PATCH 06/14] Delete Titanic.ipynb

---
 Titanic.ipynb | 1 -
 1 file changed, 1 deletion(-)
 delete mode 100644 Titanic.ipynb

diff --git a/Titanic.ipynb b/Titanic.ipynb
deleted file mode 100644
index 742640e..0000000
--- a/Titanic.ipynb
+++ /dev/null
@@ -1 +0,0 @@
-{"cells":[{"metadata":{"id":"MMAXD2Bg3fAl"},"cell_type":"markdown","source":"### Kaggle Competition | Titanic Machine Learning from Disaster\n\n>The sinking of the RMS Titanic is one of the most infamous shipwrecks in history.  On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew.  This sensational tragedy shocked the international community and led to better safety regulations for ships.\n\n>One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew.  Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.\n\n>In this contest, we ask you to complete the analysis of what sorts of people were likely to survive.  In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.\n\n>This Kaggle Getting Started Competition provides an ideal starting place for people who may not have a lot of experience in data science and machine learning.\"\n\nFrom the competition [homepage](http://www.kaggle.com/c/titanic-gettingStarted).\n\n\n### Goal for this Notebook:\nMake a simple analysis of the Titanic disaster in Python using a full complement of PyData utilities.\n\n#### Required Libraries:\n* [NumPy](http://www.numpy.org/)\n* [IPython](http://ipython.org/)\n* [Pandas](http://pandas.pydata.org/)\n* [SciKit-Learn](http://scikit-learn.org/stable/)\n* [SciPy](http://www.scipy.org/)\n* [Matplotlib](http://matplotlib.org/)\n\n***The competition's website is located on [Kaggle.com](http://www.kaggle.com/c/titanic-gettingStarted).***"},{"metadata":{"id":"fQey2NMy3fAw","trusted":true},"cell_type":"code","source":"import matplotlib.pyplot as plt\n%matplotlib inline\nimport numpy as np\nimport pandas as pd\nimport seaborn as sns\nfrom sklearn.preprocessing import OneHotEncoder\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.svm import SVC\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import classification_report, accuracy_score, plot_confusion_matrix\nimport warnings\nwarnings.filterwarnings(\"ignore\")","execution_count":1,"outputs":[]},{"metadata":{"id":"bhp18NQo3fAy"},"cell_type":"markdown","source":"### Data Handling\n#### Read data (training set) in using pandas:"},{"metadata":{"id":"J5LILRd_8NO5","trusted":true},"cell_type":"code","source":"df = pd.read_csv('train.csv')","execution_count":2,"outputs":[]},{"metadata":{"id":"n5eT1bfh3fA0"},"cell_type":"markdown","source":"Show an overview of our data: "},{"metadata":{"id":"YNTiYmrA3fA1","trusted":true},"cell_type":"code","source":"df","execution_count":3,"outputs":[{"data":{"text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Ticket</th>\n      <th>Fare</th>\n      <th>Cabin</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>A/5 21171</td>\n      <td>7.2500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>PC 17599</td>\n      <td>71.2833</td>\n      <td>C85</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>STON/O2. 3101282</td>\n      <td>7.9250</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>113803</td>\n      <td>53.1000</td>\n      <td>C123</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>373450</td>\n      <td>8.0500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>886</th>\n      <td>887</td>\n      <td>0</td>\n      <td>2</td>\n      <td>Montvila, Rev. Juozas</td>\n      <td>male</td>\n      <td>27.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>211536</td>\n      <td>13.0000</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>887</th>\n      <td>888</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Graham, Miss. Margaret Edith</td>\n      <td>female</td>\n      <td>19.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>112053</td>\n      <td>30.0000</td>\n      <td>B42</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>888</th>\n      <td>889</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n      <td>female</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>2</td>\n      <td>W./C. 6607</td>\n      <td>23.4500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>889</th>\n      <td>890</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Behr, Mr. Karl Howell</td>\n      <td>male</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>111369</td>\n      <td>30.0000</td>\n      <td>C148</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>890</th>\n      <td>891</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Dooley, Mr. Patrick</td>\n      <td>male</td>\n      <td>32.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>370376</td>\n      <td>7.7500</td>\n      <td>NaN</td>\n      <td>Q</td>\n    </tr>\n  </tbody>\n</table>\n<p>891 rows × 12 columns</p>\n</div>","text/plain":"     PassengerId  Survived  Pclass  \\\n0              1         0       3   \n1              2         1       1   \n2              3         1       3   \n3              4         1       1   \n4              5         0       3   \n..           ...       ...     ...   \n886          887         0       2   \n887          888         1       1   \n888          889         0       3   \n889          890         1       1   \n890          891         0       3   \n\n                                                  Name     Sex   Age  SibSp  \\\n0                              Braund, Mr. Owen Harris    male  22.0      1   \n1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                               Heikkinen, Miss. Laina  female  26.0      0   \n3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                             Allen, Mr. William Henry    male  35.0      0   \n..                                                 ...     ...   ...    ...   \n886                              Montvila, Rev. Juozas    male  27.0      0   \n887                       Graham, Miss. Margaret Edith  female  19.0      0   \n888           Johnston, Miss. Catherine Helen \"Carrie\"  female   NaN      1   \n889                              Behr, Mr. Karl Howell    male  26.0      0   \n890                                Dooley, Mr. Patrick    male  32.0      0   \n\n     Parch            Ticket     Fare Cabin Embarked  \n0        0         A/5 21171   7.2500   NaN        S  \n1        0          PC 17599  71.2833   C85        C  \n2        0  STON/O2. 3101282   7.9250   NaN        S  \n3        0            113803  53.1000  C123        S  \n4        0            373450   8.0500   NaN        S  \n..     ...               ...      ...   ...      ...  \n886      0            211536  13.0000   NaN        S  \n887      0            112053  30.0000   B42        S  \n888      2        W./C. 6607  23.4500   NaN        S  \n889      0            111369  30.0000  C148        C  \n890      0            370376   7.7500   NaN        Q  \n\n[891 rows x 12 columns]"},"execution_count":3,"metadata":{},"output_type":"execute_result"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(df.describe(), '\\n')\nprint('Data size: ', df.shape)","execution_count":4,"outputs":[{"name":"stdout","output_type":"stream","text":"       PassengerId    Survived      Pclass         Age       SibSp  \\\ncount   891.000000  891.000000  891.000000  714.000000  891.000000   \nmean    446.000000    0.383838    2.308642   29.699118    0.523008   \nstd     257.353842    0.486592    0.836071   14.526497    1.102743   \nmin       1.000000    0.000000    1.000000    0.420000    0.000000   \n25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n75%     668.500000    1.000000    3.000000   38.000000    1.000000   \nmax     891.000000    1.000000    3.000000   80.000000    8.000000   \n\n            Parch        Fare  \ncount  891.000000  891.000000  \nmean     0.381594   32.204208  \nstd      0.806057   49.693429  \nmin      0.000000    0.000000  \n25%      0.000000    7.910400  \n50%      0.000000   14.454200  \n75%      0.000000   31.000000  \nmax      6.000000  512.329200   \n\nData size:  (891, 12)\n"}]},{"metadata":{"id":"ad27EQkf3fA3"},"cell_type":"markdown","source":"### Learn more about the data:\n\nAbove is a summary of data contained in a `Pandas` `DataFrame`. Think of a `DataFrame` as a Python's super charged version of the workflow in an Excel table. As you can see the summary holds quite a bit of information. First, it lets us know we have 891 observations, or passengers, to analyze here.\n\nNext it shows us all of the columns in `DataFrame`. Each column tells us something about each of our observations, like their `name`, `sex` or `age`. These colunms  are called a features of our dataset. You can think of the meaning of the words column and feature as interchangeable for this notebook. \n\nAfter each feature it lets us know how many values it contains. While most of our features have complete data on every observation, like the `survived` feature here: \n\n    survived    891  non-null values \n\nsome are missing information, like the `age` feature: \n\n    age         714  non-null values \n\nThese missing values are represented as `NaN`s.\n\n### Take care of missing values:\nThe features `ticket` and `cabin` have many missing values and so can’t add much value to our analysis. To handle this we will drop them from the dataframe to preserve the integrity of our dataset. Drop waste features.\n\nAlso remove NaN values from each remaining column / feature.\n\nNow we have a clean and tidy dataset that is ready for analysis. \n\n"},{"metadata":{"id":"EMZbA3Aw3fA5","trusted":true},"cell_type":"code","source":"# Remove ticket and cabin features\ndf = df.drop(['Ticket', 'Cabin'], axis=1)\ndf","execution_count":5,"outputs":[{"data":{"text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Fare</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>7.2500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>71.2833</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.9250</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>53.1000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8.0500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>886</th>\n      <td>887</td>\n      <td>0</td>\n      <td>2</td>\n      <td>Montvila, Rev. Juozas</td>\n      <td>male</td>\n      <td>27.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>13.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>887</th>\n      <td>888</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Graham, Miss. Margaret Edith</td>\n      <td>female</td>\n      <td>19.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>888</th>\n      <td>889</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n      <td>female</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>2</td>\n      <td>23.4500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>889</th>\n      <td>890</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Behr, Mr. Karl Howell</td>\n      <td>male</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>890</th>\n      <td>891</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Dooley, Mr. Patrick</td>\n      <td>male</td>\n      <td>32.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.7500</td>\n      <td>Q</td>\n    </tr>\n  </tbody>\n</table>\n<p>891 rows × 10 columns</p>\n</div>","text/plain":"     PassengerId  Survived  Pclass  \\\n0              1         0       3   \n1              2         1       1   \n2              3         1       3   \n3              4         1       1   \n4              5         0       3   \n..           ...       ...     ...   \n886          887         0       2   \n887          888         1       1   \n888          889         0       3   \n889          890         1       1   \n890          891         0       3   \n\n                                                  Name     Sex   Age  SibSp  \\\n0                              Braund, Mr. Owen Harris    male  22.0      1   \n1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                               Heikkinen, Miss. Laina  female  26.0      0   \n3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                             Allen, Mr. William Henry    male  35.0      0   \n..                                                 ...     ...   ...    ...   \n886                              Montvila, Rev. Juozas    male  27.0      0   \n887                       Graham, Miss. Margaret Edith  female  19.0      0   \n888           Johnston, Miss. Catherine Helen \"Carrie\"  female   NaN      1   \n889                              Behr, Mr. Karl Howell    male  26.0      0   \n890                                Dooley, Mr. Patrick    male  32.0      0   \n\n     Parch     Fare Embarked  \n0        0   7.2500        S  \n1        0  71.2833        C  \n2        0   7.9250        S  \n3        0  53.1000        S  \n4        0   8.0500        S  \n..     ...      ...      ...  \n886      0  13.0000        S  \n887      0  30.0000        S  \n888      2  23.4500        S  \n889      0  30.0000        C  \n890      0   7.7500        Q  \n\n[891 rows x 10 columns]"},"execution_count":5,"metadata":{},"output_type":"execute_result"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Remove NaN values\ndf = df.dropna()\ndf","execution_count":6,"outputs":[{"data":{"text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Fare</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>7.2500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>71.2833</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.9250</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>53.1000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>8.0500</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>885</th>\n      <td>886</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Rice, Mrs. William (Margaret Norton)</td>\n      <td>female</td>\n      <td>39.0</td>\n      <td>0</td>\n      <td>5</td>\n      <td>29.1250</td>\n      <td>Q</td>\n    </tr>\n    <tr>\n      <th>886</th>\n      <td>887</td>\n      <td>0</td>\n      <td>2</td>\n      <td>Montvila, Rev. Juozas</td>\n      <td>male</td>\n      <td>27.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>13.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>887</th>\n      <td>888</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Graham, Miss. Margaret Edith</td>\n      <td>female</td>\n      <td>19.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>889</th>\n      <td>890</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Behr, Mr. Karl Howell</td>\n      <td>male</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>30.0000</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>890</th>\n      <td>891</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Dooley, Mr. Patrick</td>\n      <td>male</td>\n      <td>32.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.7500</td>\n      <td>Q</td>\n    </tr>\n  </tbody>\n</table>\n<p>712 rows × 10 columns</p>\n</div>","text/plain":"     PassengerId  Survived  Pclass  \\\n0              1         0       3   \n1              2         1       1   \n2              3         1       3   \n3              4         1       1   \n4              5         0       3   \n..           ...       ...     ...   \n885          886         0       3   \n886          887         0       2   \n887          888         1       1   \n889          890         1       1   \n890          891         0       3   \n\n                                                  Name     Sex   Age  SibSp  \\\n0                              Braund, Mr. Owen Harris    male  22.0      1   \n1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                               Heikkinen, Miss. Laina  female  26.0      0   \n3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                             Allen, Mr. William Henry    male  35.0      0   \n..                                                 ...     ...   ...    ...   \n885               Rice, Mrs. William (Margaret Norton)  female  39.0      0   \n886                              Montvila, Rev. Juozas    male  27.0      0   \n887                       Graham, Miss. Margaret Edith  female  19.0      0   \n889                              Behr, Mr. Karl Howell    male  26.0      0   \n890                                Dooley, Mr. Patrick    male  32.0      0   \n\n     Parch     Fare Embarked  \n0        0   7.2500        S  \n1        0  71.2833        C  \n2        0   7.9250        S  \n3        0  53.1000        S  \n4        0   8.0500        S  \n..     ...      ...      ...  \n885      5  29.1250        Q  \n886      0  13.0000        S  \n887      0  30.0000        S  \n889      0  30.0000        C  \n890      0   7.7500        Q  \n\n[712 rows x 10 columns]"},"execution_count":6,"metadata":{},"output_type":"execute_result"}]},{"metadata":{"id":"4i8syK1K8lZf","trusted":true},"cell_type":"code","source":"# Don't touch this cell\nassert \"ticket\" not in df.columns\nassert \"cabin\" not in df.columns\nassert df.isna().sum().sum() == 0","execution_count":7,"outputs":[]},{"metadata":{"id":"jLG-xK5t3fA6"},"cell_type":"markdown","source":"For a detailed look at how to use pandas for data analysis, the best resource is Wes Mckinney's [book](http://shop.oreilly.com/product/0636920023784.do). Additional interactive tutorials that cover all of the basics can be found [here](https://bitbucket.org/hrojas/learn-pandas) (they're free).  If you still need to be convinced about the power of pandas check out this wirlwhind [look](http://wesmckinney.com/blog/?p=647) at all that pandas can do. "},{"metadata":{"id":"4p5-6okC3fA7"},"cell_type":"markdown","source":"### Let's take a Look at our data graphically:\n\nPlot 5 graphs in this section:\n\n\n1.   Plots a bar graph of those who survived vs those who did not. \n2.   Plots a Scatterplot of Survived distribution by Age\n3.   Plots a bar graph of Class distribution\n4.   Plots kernel density estimate of the passengers age separately for all 3 classes\n5.   Plots a bar graph of passengers per boarding location\n\n"},{"metadata":{"id":"tMdpxz7J3fA8","trusted":true},"cell_type":"code","source":"# specifies the parameters of our graphs\n\nfig = plt.figure(figsize=(18,10), dpi=1000) \nalpha=alpha_scatterplot = 0.2 \nalpha_bar_chart = 0.55\n\n# plot many diffrent shaped graphs together \nax1 = plt.subplot2grid((2,3),(0,0)) \n\n# plots a bar graph of those who surived vs those who did not. \nplt.title('Distribution of Survival, (1 = Survived)') \nsurv = [len(df[(df['Survived']==0)]), len(df[(df['Survived']==1)])]\n#print(surv)\nax1.bar(['0', '1'], surv)\n\n# plots a stem graph of the percentage of survivors according to age.\nplt.subplot2grid((2,3),(0,1))\nplt.title('Survival by Age,  (100 = Everyone survived)')\npassenger_age = np.array(pd.unique(df['Age']))\ndistr = np.array([100*len(df[(df['Age']==age) & (df['Survived']==1)])/len(df[df['Age']==age]) for age in passenger_age])\nplt.stem(passenger_age, distr)\n\nax3 = plt.subplot2grid((2,3),(0,2))\nplt.title('Class Distribution')\nclasses = np.array([1, 2, 3])\nclasses_distr = np.array([len(df[(df['Pclass']==cl)]) for cl in classes])\nplt.bar(['First', 'Second', 'Third'], classes_distr)\n\n# plots a kernel density estimate of the subset of the 1st class passangers's age\nplt.subplot2grid((2,3),(1,0), colspan=2)\nplt.title('Age Distribution within classes')\nsns.kdeplot(data=df, x='Age', hue='Pclass', common_norm=False, palette='crest')\n\n\nax5 = plt.subplot2grid((2,3),(1,2))\nplt.title('Passengers per boarding location')\nb_locations = np.array(pd.unique(df['Embarked']))\nplt.bar(b_locations, df['Embarked'].value_counts())\n","execution_count":8,"outputs":[{"data":{"text/plain":"<BarContainer object of 3 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size 18000x10000 with 5 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"nRihWNpk3fA9"},"cell_type":"markdown","source":"### Exploratory Visualization:\n\nThe point of this competition is to predict if an individual will survive based on the features in the data like:\n \n * Traveling Class (called pclass in the data)\n * Sex \n * Age\n * Fare Price\n\nLet’s see if we can gain a better understanding of who survived and died. \n\n\nFirst plot a bar graph of those who Survived Vs. Those who did not.\n"},{"metadata":{"id":"-QXHr82g3fA-","trusted":true},"cell_type":"code","source":"plt.title('Distribution of Survival')\nplt.bar(['Not survived', 'Survived'], surv)","execution_count":9,"outputs":[{"data":{"text/plain":"<BarContainer object of 2 artists>"},"execution_count":9,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":"<Figure size 432x288 with 1 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"-0wome_M3fA-"},"cell_type":"markdown","source":"### Next tease more structure out of the data,\n### Break the previous graph down by gender\n"},{"metadata":{"id":"35p8zc7s3fA_","trusted":true},"cell_type":"code","source":"fig = plt.figure(figsize=(18,6))\n\n# create a plot of two subsets, male and female, of the survived variable.\n# After that call value_counts() so it can be easily plotted as a bar graph. \n# you can use kind='barh' argument. It is just a horizontal bar graph\nsex = ['male', 'female']\nmales, females = [len(df[(df['Sex']==i)]) for i in sex]\n\nsurv_by_sex = dict()\nfor i in sex:\n    surv_by_sex[i] = len(df[(df['Survived']==1) & (df['Sex']==i)])\n\n# Next adjust graph to display the proportions of survival by gender\nbars1 = [surv_by_sex.get('male'), surv_by_sex.get('female')]\nbars2 = [males-bars1[0], females-bars1[1]]\n \n# Heights of bars1 + bars2\nbars = np.add(bars1, bars2).tolist()\n \n# The position of the bars on the x-axis\nr = [0,1]\n \n# Names of group and bar width\nnames = ['Males','Females']\nbarWidth = 1\n \n# Create brown bars\na = plt.bar(r, bars1, color='#7f6d5f', edgecolor='white', width=barWidth)\n# Create green bars (middle), on top of the first ones\nb = plt.bar(r, bars2, bottom=bars1, color='#557f2d', edgecolor='white', width=barWidth)\n\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by sex')\nplt.legend((a, b), ('survived', 'not survived'))\n# Show graphic\nplt.show()","execution_count":10,"outputs":[{"data":{"image/png":"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\n","text/plain":"<Figure size 1296x432 with 1 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"sBEcGFBI3fBA"},"cell_type":"markdown","source":"Add your summaryabout recieved data for raw value counts and proportionally\n\n#### Try to go down even further:\nCan we capture more of the structure by using Pclass? Here try to bucket classes as lowest class or any of the high classes (classes 1 - 2). 3 is lowest class. Break it down by Gender and what Class they were traveling in.\n"},{"metadata":{"id":"r4jXC0wM3fBA","trusted":true},"cell_type":"code","source":"# distribution of men and women in the third class\nthird_class_by_sex = dict()\nfor i in sex:\n    third_class_by_sex[i] = len(df[(df['Sex']==i) & (df['Pclass']==3)])\n    \ngenders = [males, females]\n#print(genders)\n\n# distribution of men and women in the 1-2 classes\nhigh_classes_by_sex = dict()\nfor i in range(2):\n    high_classes_by_sex[sex[i]] = genders[i] - third_class_by_sex.get(sex[i])\n#print(third_class_by_sex, high_classes_by_sex)\n\n# the number of survivors in the third class by sex\nsurv_third_class = dict()\nfor i in sex:\n    surv_third_class[i] = len(df[(df['Survived']==1) & (df['Pclass']==3) & (df['Sex']==i)])\n#print(surv_third_class)\n\n# the number of survivors in the 1-2 classes by sex\nsurv_high_classes = dict()\nfor i in sex:\n    surv_high_classes[i] = surv_by_sex.get(i) - surv_third_class.get(i)\n#print(surv_high_classes)\n\n\nfig = plt.figure(figsize=(10, 10))\nnames = ['Males','Females']\n\n# Number of male and female survivors by class\nplt.subplot2grid((2,2), (0, 0), colspan=2)\n\ndef plot_bars(bars1, bars2):\n    a = plt.bar(r, bars1, color='#7f6d5f', edgecolor='white', width=barWidth)\n    b = plt.bar(r, bars2, bottom=bars1, color='#557f2d', edgecolor='white', width=barWidth)\n    return [a, b]\n\nbars1 = [surv_third_class.get('male'), surv_third_class.get('female')]\nbars2 = [surv_high_classes.get('male'), surv_high_classes.get('female')]\n\na, b = plot_bars(bars1, bars2)\n\nplt.title('General statistics of survivors by sex')\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by class and sex')\nplt.legend((a, b), ('high classes', 'third class'))\n\n\n# Number of male and female survivors in the third class\nplt.subplot2grid((2,2), (1, 0))\n\nbars1 = [surv_third_class.get('male'), surv_third_class.get('female')]\nbars2 = [third_class_by_sex.get('male')-surv_third_class.get('male'),third_class_by_sex.get('female')-surv_third_class.get('female')]\n\na, b = plot_bars(bars1, bars2)\n\nplt.title('Third class statistics')\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by sex in third class')\nplt.legend((a, b), ('survived', 'not survived'))\n\n\n# Number of male and female survivors in the high classes\nplt.subplot2grid((2,2), (1, 1))\nbars1 = [surv_high_classes.get('male'), surv_high_classes.get('female')]\nbars2 = [high_classes_by_sex.get('male')-surv_high_classes.get('male'),high_classes_by_sex.get('female')-surv_high_classes.get('female')]\n\na, b = plot_bars(bars1, bars2)\n\nplt.title('High classes statistics')\nplt.xticks(r, names, fontweight='bold')\nplt.xlabel('Number of survivors by sex in high classes')\nplt.legend((a, b), ('survived', 'not survived'))","execution_count":12,"outputs":[{"data":{"text/plain":"<matplotlib.legend.Legend at 0x7fe52c3e7cf8>"},"execution_count":12,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":"<Figure size 720x720 with 3 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"yEZPJBNqFWfq"},"cell_type":"markdown","source":"Try to get a conclusions of the recieved data"},{"metadata":{"id":"XrSaN1KQ3fn1"},"cell_type":"markdown","source":""},{"metadata":{"id":"yuV-b-Jvt1PI"},"cell_type":"markdown","source":"## Model train and evaluation\n\n\nFor all model at the end, additionaly generate:\nNormalized Confusion matrix as:\n```\n\t\t                 Predicted\n                     Survive\tNon-Survive\nActual    Survive        0.7       0.3\n          Non-Survive    0.2       0.8\n```\nAnd metrics:\n```\n          Metrics\nRecall    0.2232\nPrecision 0.0597\nAccuracy  0.2100\nF1 score  0.0398\n```"},{"metadata":{"id":"7MLXksFt3fBD"},"cell_type":"markdown","source":"## Supervised Machine Learning\n#### Logistic Regression:\n\n\n\nTask is to predict a binary outcome. That is, it wants to know whether some will die, (represented as a 0), or survive, (represented as 1). A good place to start is to calculate the probability that an individual observation, or person, is likely to be a 0 or 1. That way we would know the chance that someone survives, and could start making somewhat informed predictions. If we did, we'd get results like this:: \n\n![pred](https://raw.github.com/agconti/kaggle-titanic/master/images/calc_prob.png) \n\n(*Y axis is the probability that someone survives, X axis is the passenger’s number from 1 to 891.*)\n\nWhile that information is useful it doesn’t let us know whether someone ended up alive or dead. It just lets us know the chance that they will survive or die. We still need to translate these probabilities into the binary decision we’re looking for. But how? We could arbitrarily say that our survival cutoff is anyone with a probability of survival over 50%. In fact, this tactic would actually perform pretty well for our data and would allow you to make decently accurate predictions. Graphically it would look something like this:\n\n![predwline](https://raw.github.com/agconti/kaggle-titanic/master/images/calc_prob_wline.png)\n\nWhat are the odds that setting that cutoff at 50% works? Maybe 20% or 80% would work better. Clearly we need a more exact way to make that cutoff. What can save the day? In steps the **Logistic Regression**. \n\nA logistic regression follows the all steps we took above but mathematically calculates the cutoff, or decision boundary (as stats nerds call it), for you. This way it can figure out the best cut off to choose, perhaps 50% or 51.84%, that most accurately represents the training data.\n\nBelow, write down the process of creating a Logitist regression model with `LogisticRegression`, training it on the data, and examining its performance."},{"metadata":{"id":"deeYakrn3fBF","trusted":true},"cell_type":"code","source":"# instantiate and fit our model to the training data\nfrom sklearn.model_selection import train_test_split\ndf['Sex'] = df.Sex.apply(lambda x: 0 if x==\"female\" else 1)\ndf['Embarked_C'] = df.Embarked.apply(lambda x: 1 if x=='C' else 0)\ndf['Embarked_Q'] = df.Embarked.apply(lambda x: 1 if x=='Q' else 0)\ndf['Embarked_S'] = df.Embarked.apply(lambda x: 1 if x=='S' else 0)\nfeatures = ['Pclass', 'Sex', 'Age', 'SibSp', 'Parch', 'Fare', 'Embarked_C', 'Embarked_Q', 'Embarked_S']\n\nX = df[features]\ny = df['Survived']\n\nmodels = list()\n\nlogreg = LogisticRegression()\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=5)\nlogreg.fit(X_train, y_train)\ny_pred = logreg.predict(X_test)\nmodels.append(logreg)\nprint(classification_report(y_test, y_pred))","execution_count":13,"outputs":[{"name":"stdout","output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.87      0.87      0.87        93\n           1       0.76      0.76      0.76        50\n\n    accuracy                           0.83       143\n   macro avg       0.82      0.82      0.82       143\nweighted avg       0.83      0.83      0.83       143\n\n"}]},{"metadata":{"id":"eqP3heYQ3fBF","trusted":true},"cell_type":"code","source":"# Plot Predictions Vs Actual\nplot_confusion_matrix(logreg, X_test, y_test)  \nplt.show()","execution_count":14,"outputs":[{"data":{"image/png":"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\n","text/plain":"<Figure size 432x288 with 2 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"5DKw49Rr3fBL"},"cell_type":"markdown","source":"### Support Vector Machine (SVM)\n\n\nThe logit model showed exactly where to draw our decision boundary or our 'survival cut off'. A linear line is okay, but can prediction be better? Perhaps a more complex decision boundary like a wave, circle, or maybe some sort of strange polygon would describe the variance observed in our sample better than a line.\n\nBelow implement a SVM model based on `sklearn.svm.SVC` and examining the results after the SVM transforms an equation into three different mathematical plains. The first is linear, and is similar to our logic model. Next is an exponential, polynomial, transformation and finally a blank transformation.\n"},{"metadata":{"id":"2XU5FihKRakX","trusted":true},"cell_type":"code","source":"svm = SVC(probability=True)\n\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=5)\nsvm.fit(X_train, y_train)\ny_pred = svm.predict(X_test)\nmodels.append(svm)\nprint(classification_report(y_test, y_pred))\nplot_confusion_matrix(svm, X_test, y_test)  \nplt.show()","execution_count":15,"outputs":[{"name":"stdout","output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.72      0.93      0.81       114\n           1       0.74      0.36      0.48        64\n\n    accuracy                           0.72       178\n   macro avg       0.73      0.64      0.65       178\nweighted avg       0.73      0.72      0.69       178\n\n"},{"data":{"image/png":"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\n","text/plain":"<Figure size 432x288 with 2 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"BwJyqyhF3fBN"},"cell_type":"markdown","source":"### Random Forest\n\nthe Random Forest technique is a form of non-parametric modeling that does away with all those equations created above, and uses raw computing power and a clever statistical observation to tease the structure out of the data. \n\n**How do they work?** A random forest algorithm randomly generates many extremely simple models to explain the variance observed in random subsections of our data. These models are like appraisal guesses. They are all awful individually. Really awful. But once they are averaged, they can be powerful predictive tools. The averaging step is the secret sauce. While the vast majority of those models were extremely poor; they were all as bad as each other on average. So when their predictions are averaged together, the bad ones average their effect on our model out to zero. The thing that remains, *if anything*, is one or a handful of those models have stumbled upon the true structure of the data.\n\nBelow implement your model of random forest with `RandomForestClassifier`, generating predictions form the resulting model, and then scoring the results."},{"metadata":{"id":"ekx9kVAOTOKk","trusted":true},"cell_type":"code","source":"rand_forest = RandomForestClassifier()\n\nrand_forest.fit(X_train, y_train)\ny_pred = rand_forest.predict(X_test)\nmodels.append(rand_forest)\nprint(classification_report(y_test, y_pred))\nplot_confusion_matrix(rand_forest, X_test, y_test)  \nplt.show()","execution_count":16,"outputs":[{"name":"stdout","output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.88      0.86      0.87       114\n           1       0.76      0.78      0.77        64\n\n    accuracy                           0.83       178\n   macro avg       0.82      0.82      0.82       178\nweighted avg       0.83      0.83      0.83       178\n\n"},{"data":{"image/png":"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\n","text/plain":"<Figure size 432x288 with 2 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"id":"NT6kO9UQsQit"},"cell_type":"markdown","source":"# Additional tasks\n\n*   Plot ROC curve for implemented models\n*   Implement prediction using another model, such as the k-nearest neighbors algorithm, decision tree classifier, gaussian naive bayes, neural network etc. Or maybe try to use sklearn.model_selection.GridSearchCV based on already implemented models.\n\n\n\n"},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.tree import DecisionTreeClassifier\n\nclassifier = DecisionTreeClassifier(random_state=0)\nclassifier.fit(X_train, y_train)\ny_pred = classifier.predict(X_test)\nmodels.append(classifier)\nprint(classification_report(y_test, y_pred))\nplot_confusion_matrix(classifier, X_test, y_test)  \nplt.show()","execution_count":17,"outputs":[{"name":"stdout","output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.84      0.81      0.82       114\n           1       0.68      0.72      0.70        64\n\n    accuracy                           0.78       178\n   macro avg       0.76      0.76      0.76       178\nweighted avg       0.78      0.78      0.78       178\n\n"},{"data":{"image/png":"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\n","text/plain":"<Figure size 432x288 with 2 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.naive_bayes import GaussianNB\n\nnb = GaussianNB()\nnb.fit(X_train, y_train)\ny_pred = nb.predict(X_test)\nmodels.append(nb)\nprint(classification_report(y_test, y_pred))\nplot_confusion_matrix(nb, X_test, y_test)  \nplt.show()","execution_count":18,"outputs":[{"name":"stdout","output_type":"stream","text":"              precision    recall  f1-score   support\n\n           0       0.84      0.79      0.81       114\n           1       0.66      0.73      0.70        64\n\n    accuracy                           0.77       178\n   macro avg       0.75      0.76      0.76       178\nweighted avg       0.78      0.77      0.77       178\n\n"},{"data":{"image/png":"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\n","text/plain":"<Figure size 432x288 with 2 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.metrics import roc_curve, roc_auc_score\nfrom sklearn import metrics\n\nfig = plt.figure(figsize=(10, 10))\n\nfor model in models:\n    y_pred_proba = model.predict_proba(X_test)[::,1]\n    fpr, tpr, _ = metrics.roc_curve(y_test,  y_pred_proba)\n    auc = metrics.roc_auc_score(y_test, y_pred_proba)\n    plt.plot(fpr, tpr, label = type(model).__name__+', auc='+str(auc.round(2)))\n    plt.legend(loc=4)\n\nplt.plot([0,1], [0,1], color='yellow', linestyle='--')    \nplt.title('ROC curves', fontweight='bold', fontsize=10)\nplt.xlabel('Flase Positive Rate', fontsize=8)\nplt.ylabel('True Positive Rate', fontsize=8)\nplt.show()","execution_count":19,"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAmAAAAJaCAYAAACIivsbAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAACbzUlEQVR4nOzdd3zV1f3H8dfJzc4NM4xAGKI4gLAEZI/Evfeou8VN3VbtsrVLW+uqVqtVq+3Paqu1WGdrgkJu2BBFhoADJMwghNybnXt+f3xDhBCyyL3fe5P38/Hgkdyb7/1+3wmQfHLO+X6OsdYiIiIiIuET43YAERERkY5GBZiIiIhImKkAExEREQkzFWAiIiIiYaYCTERERCTMVICJiIiIhJkKMBFxnTFmoDHG1v4JGmO2GWMeN8bE7HPMDGOMzxhTZozZbYx53Rhz2D4fjzXG3GeM+cIYU2GM+coYc587n5GISONUgIlIJFkOXAF8DnwfOA/AGHM08D4wBPgh8GfgHOB9Y0x87WufA34GFAG31B5zbChCGmNiQ3FeEek4VICJSCTZbK39G/Bk7eNBtW/vAeKAH1hrH7HW3gm8CgwGvmOMOQKncCsCsqy1T1trfwmc3dBFjDGXG2NW1o6mfW6MOcwYc1XtCNydtce8Vft44D4jdPnGmA+AQmPMP40x1caYHrXH/672mFHGmL61I3S7jDGbjTEPGGNiav88bYz5pvbaq4wxWaH5UopIJNNvcSISSeKMMb2A6bWPF9e+zax9O3+fY/OBi4FhQGntcz5rrX/vAdbaYP0LGGOmAS8Ba4GbgYE0/3vhBOC3wD+AbcD5OCNxz+CM1q2y1i43xszBGX17GOgN3A1sAnzAdcC/gLeAI1twbRFpR/QfX0QiyYnA1tr3H7XW5jZyrGnguebsrXZ67dvbrbVv153MmEnNeO1ya+3dtcfHA98A5xtjlgKHAT80xniBabX59l2DdiLwT5xiMRPYglNEzmnGdUWkndEUpIhEkoXAJcBXwE3GmBG1z6+ofTt+n2P3vv8psLT2/UnGmJS9B+y7iL8Zamrf7v3FtEsDx2ze+461thJ4DZgBXItT/L28z7EfAyfs8+cX1tptwFDgj0B34P/Yv0gTkQ5CI2AiEkmKrLWvGGNKgdnA/cBZwAPAd4Df1o4w9cWZflwP/N1aW2GMeRG4Esg1xjwPdMMp0s6qd43/AHcCDxtj+gADgBdxij6A04wxO9m/2DuYv+EUX9cA86y1GwCMMR8BU4EpQCEwGVhjjCkGbsUpGBfWfg59mv3VEZF2QyNgIhJxrLVv4hQpZxhjhltr1wAnAWuA3+AUPf8GTrTWVtS+7Brg50BP4A/ATUBBA+eei7Ngv6b2uEuAaiAPZwRrJHAusKQZUfOADTjTjX/b5/nLcNZ5zQIeAg4HFgHlOGvDHgV+jTMF+WAzriMi7YyxtjlLJkRERESkrWgETERERCTMVICJiIiIhJkKMBEREZEwUwEmIiIiEmYqwERERETCLKr6gKWlpdmBAwe6HUNERESkSUuXLi2y1vZo6GNRVYANHDiQJUua05pHRERExF3GmA0H+5imIEVERETCTAWYiIiISJipABMREREJMxVgIiIiImGmAkxEREQkzFSAiYiIiISZCjARERGRMFMBJiIiIhJmKsBEREREwkwFmIiIiEiYqQATERERCTMVYCIiIiJhpgJMREREJMxUgImIiIiEmQowERERkTBTASYiIiISZirARERERMJMBZiIiIhImKkAExEREQmzkBRgxpjnjTHbjTGfHuTjxhjzuDFmvTHmE2PM6FDkEBEREYlEoRoB+wtwciMfPwUYXPvnWuCpEOUQERERiTghKcCstXOBbxo55CzgJetYAHQxxqSHIouIiIhIfdZaV68f69J1+wJf7/N4U+1zW9yJIyIi0vG8vHAjswsK2/y82aXvMKlsTpuft77N/mPZFhje6DE1QKWxVBqoqbHEV1Vy1LDlfF4wgJnP/iTkGQ/GrQLMNPBcg6WoMeZanGlK+vfvH8pMIiIiHcrsgkJWbdnDkPRObXreSWVzGFj1BV/FDWrT89a3LTAcf2VvkuK31hVZ+7+1JFRAp1LwllkSqgE8dOq5g069u4Q0W1PcKsA2Af32eZwBbG7oQGvtM8AzAGPGjHF3vFBERKSdGZLeiVevm9C2J32hMzCKoVe/3WanLKksYeOejWzYs4ENJRvYuGcjqe8lUl69lTeGPFp3XEIVTN/SlePWx3DEqt0kllRgYz3ETT2atNNG4T32e8T1vp5jL2izaK3iVgH2JjDLGPMKcBxQbK3V9KOIiEgHVlpVul+BtWGP83ZjyUa+Kd9/aXnvlN5km+F0S+zGPYNv4PBPd9F18Trs4o+x5TuISU3FO/V4UrOzSJl6NB7v2cB84HY3PrUDhKQAM8b8HZgOpBljNgH3AXEA1tqngXeAU4H1QClwdShyiIiISGQpqy6rK6r2Flgb9mxgY8lGisqK9ju2Z1JP+nfqz4x+M+jfqT8DUgfQv1N/+qX2w3y9hdkLV1Gzazcjv/cEWEtMejqp551HanYWyWPGYOLjcZaXZwNf4Yz/JIX9c25ISAowa+0lTXzcAjeF4toiIiLirgosm6hmw8Zcp8Aq2eCMbO3ZwPbS7fsd2z2xOwM6DWBy38kM6DSA/qn9GdBpAP1S+5Ecl1x3nA0GKfv4Y/yvvUlhTi6VX3xB1chbiElOIe3GG0nNziLhmGMwZt9l5oVAVu3bd4FpYfjsm8etKUgRERGJYlU1VWzyb9pvBGvviNYWsxlrgDm3ANA1oSv9O/VnfPr4ugKrf6f+9E/tjzfee9BrBMvLCcyfjz83l5I5H1JTVASxsSSPHUPXSy4hadPhmPgEenz/YP3cf40zAvY+MKmNvwKHRgWYiIgcku2l26kOVrsdQ1qhkp0AbPY3eB8cABU1FWwq2XTAlOHmwGaCNlh3XGp8KgNSBzCq1yjOLgnQ38Yy4Iwn6Jfaj84JnZudqXrXLvwffoQ/Nwd/ng9bVkZMSgopU6eQmpWNd+oUPJ2d85nfL2vibL8HbgCGNfv64aICTEREWu35T5/nkaWPuB1DWivReXPS6807PMUa+hPLMOI4FS8DbCzx28dSUjSM2H07TFX2pzI+hXXfVLKOz5s8r60op3rXbmp27yJY4gcsJm4Unikz8HTpiqdTKpgYWAus/fZ8RZv8pGXUH0Fbi7PQ/iWgG5FYfIEKMBERaaUt/i08VfAUE/tM5OSBje0+F32e/uhzNu8uo0+XyFiwHSpn+v9BL1uEp0u/gx4Ti6EvHvoTR3diMPVaeb5RlMnu0h6kJe/49sn4FEjp0ciVLcFAgJq9RVdZGQAxScnE9UnH06UrMSkpTeZPy/By5Lhe+zyzCmfBfQ3O1GO3Js/hFhVgIiLSKo8sfQSL5b4J99HH28ftOG3qldz5dEmFV2e2cX+sSPPCHKAHHEq/rt8vIw04545TGz0sWFlJ6YIFlOTk4s/NpXrHDvB4SD72WFJPycKbnU18Rkbrc7ACp/jyAB8CQw7hXKGnAkxERFps2bZlvPvVu1w3/Lp2V3xJ26nZvRv/3LmU5OQSmDePYGkpMcnJpEyZQmrWDLzTpuHp0qUNrvQxTvGVCOQCR7bBOUNLBZiIiLRI0AZ5cPGD9EzuyXeHfdftOBJhKjcV4s/NoSQnl9IlS6CmBk+PNDqdfjqpx2eTfNxxxCQktPFVuwPDgWeBw9v43KGhAkxERFpk9vrZrNq5it9M+c1+fZqk4woGAmx/7DH8uXOo+OwzABIGH0H3732P1OwsEjMzMTExIbjyGmAwzo6GuSE4f+ioABMRkWbzV/p5bNljjOgxgtMOO83tOOISW1lJYOEiSnJzKFvfD1tVyc5PniF59Gh63n03qVkziB8wIMQp5uJsqnMr8MsQX6vtqQATEZFme3bFs+ws38kT2U/U6zh+cC8v3MjsgsIQJ2tbQ7b8i/Pj59duKt2ObV0BvTObdWjNnj34P5pLSW4OgbnzCAYCmKQkYsbfjadLBoOfyiO2a9cQB94rBzgDGEi0bqyjAkxERJrl6z1f89dVf+XMw89kWFrzeyvNLihk1ZY9DEnvFMJ0bev8+PkMDn4FjHA7Smj1zoTM8w/64arNmynJyaUkN4fSxUuguhpPWhqdTj0Fb1YWKRMmsPrJVQBhLL7eA87BmXr8AOgZpuu2LRVgIiLSLA8teYjYmFhuGX1Li187JL0Tr14XRS0dXugMjDi09gxRyFpLxerVtUVXLhWrVwMQP2gQ3a++Cm9WFkkjRoRoPVdzFAPfAY4B/oez+D46qQATEZEmLdiygNyvc7ll9C30TI7OEQdpmK2qonTxYqfompNL9eYtYAxJo0bR86478WZlkXDYYW7HrNUZeAunAAvXiFtoqAATEZFGVQereXDRg/T19uXyIZe7HUfaQI3fT6C2P5d/7lyCJSWYxERSJk4k9aab8E6fTmz3SBpdegVn9Os6YKLLWdqGCjAREWnUa2tfY/3u9Twy/RESPG3dv0nCpWrrVkpyc/Hn5BJYtAiqqvB07UrqCSeQmp1FysSJxCRF4tZLLwFXA1OBmTid7qOfCjARETmo4opinih4grG9x5LdP9vtONIC1loq1q6lJCcHf04u5StXAhA/YADdLr+c1OwskkaOxHgiuaB5DrgGyAJm016KL1ABJiIijXjq46coqSzh7rF3N7vthLjHVldTumQpJblO0VVVWOis5xo+nB63305qdhbxgwZFyd/lU8CNwMnAv4BIHJ1rPRVgIiJRrDpYzetrX2fBlgVtfm6L5cOvP+S8wedxVLejgNb19Iq2FhTRpsYfIJCX5xRdH80lWFyMiY8nZeJEul93LakzZhDbo4fbMVshgNPr659A+5v6VgEmIhKlFmxZwIOLHmT97vX0S+0XkvVZ49PHM2vUrLrHrenpNSS9E2eN7Nvm2Tqyqm3b8c+Z4/Tnmr8AW1WFp3NnUqdPx3t8Nt5Jk4hJjtZtorYA6cCdwO2AWy0vQksFmIhIlPl6z9c8tOQhcr/OJcObwaMzHiWrX1bYppWirqdXO2CtpWLdOvy5uZTkzqH8k08AiOvXj67f+Q7e7CySR4/GxEb7j/VfAA8Bi4Ejaa/FF6gAExGJGoGqAM9+8iwvrXqpriHq5UMu152J7ZStrqZ02TL8ObmUzJlD1caNACQOH06PW2911nMdcUSUrOdqigV+irOn4xXA4e7GCQMVYCIiES5og/zn8//w6LJHKSor4szDz1RD1HYqWFqKPy8Pf04u/o8+omb3bkxcHMkTxtP9u9/FO2MGcb3a29+7Be4GfofTZuJPtOeRr71UgImIRLCPd3zMAwsf4NOdnzI8bTiPz3iczB7N2zxZokP1jh2UzJnj9OeaPx9bWUlM5854p00lNSublMmT8XhT3I4ZQn/FKb5uBP5ARyi+QAWYiEhE2hbYxqPLHuWtL96iZ1JPfj3515w26DRiTMf44dSeWWup/OILpwt9Tg5ln3wC1hLXty9dLr6I1Kxsko8djYmLcztqmFwC1ABXAe1hOrV5VICJiESQipoKXlr5Es+ueJaaYA3XZF7DzMyZJMdF6x1tAmBraigrKKgruio3bAAgcehQ0r4/i9TsbBKOPLKdrOdqjhqcBfc3Aj1xOt13LCrARKTd+H7O91m4daEr166usVQHbRucqQZrqkmtGUXf6vPxLe6Bb/HHbXDethHxPb2WvAArXmv0kJXbM1lbdEzj56k8DeJT4PfLWp8lGKRmTzE1u3ZTs3s3troKTGc8A67EM7Irni5dMPHxUAa8FQCWt/5aLira5Cctw9uCV9TgFFx/BXoAN4UkV6RTASYi7cbKnSvJSM1gYnr4N+v9zyeb+SZQSbeU+EM6j8HgDQ4jJXh0GyVrWxHf02vFa7B1BfQ++Dq5tUXHUFTag7TkHQc/T3wKpLS8eamtrqJm926n6NpTDMEgeGLxdO5MbNeuxHTuHOFb/7RcWoaXI8f1aubRVTh3Ob6CMwLWMYsvUAEmIu3M8LTh3Dn2zrBfd/Gy+fROgFe/p/5YruudCVe/ffCP/34ZacA5d5zaJper+PJLpz9XTi5ly5eDtcSmp5OalUVqdhbJY8Y4I10dXiXOeq9/Ab8F7nI3jstUgImIiLSADQYp+/jjuqKr8osvAEg45hjSbryR1OwsEo45pgOt52quYmAl8Chwi7tRIoAKMBERkSYEy8sJ5M939luc8yE1O3dCbCzJY8fQ9ZJLSM2aQVzfCJ6adVUZTrnRA2edW/vaVLu1VICJiIg0oHrXLvwffkRJzgcEfPnYsjJiUlLwTpuKNysb79QpeDpF8A0JESEAnAn0Av4PFV/fUgEmIiJSq3LDBkpy5+DPyaF02TIIBont1Ysu55yNNyublHFjtZ6r2UqA0wAf8Bc6Uo+v5lABJiJht2HPBnaW7Wzz81YGK9v8nNK+2WCQ8hUrKMnJpSQ3h8r1nwOQcNRRpF1/Hd6sbBKHDtF6rhYrBk4BFgEvAxe5GycCqQATkTb18sKNzC4oPOjHAzFr2BD3CJi26Jl1oDmri1m9Yn5Izt2YiO+P5aZm9OZqSLP6ddXXjP5dRZtK6Jpaw5af3od/zhyqd+wAj4fkMWPoeuGFeLOyiM/IaHFe2csC5wFLgH8A57obJ0KpABORNjW7oPCgxYilhq2xrxJnu5FedXkIrm5ICh4WgvM2LeL7Y7mpGb25GtKsfl31HaR/l62upqbY6c+VXFxMl4KF7CleTsqUKaRmZ+GdOhVPly4tyicHY4D7gN3AGe5GiWAqwESkzQ1J78Sr1x3YD+vVNa/yy4WFPDz9YU4YcIILycQ1TfXmasgh9uuq3LQJf04OJTm5lC5dCjU1xPbogTcri9TrryD5uCeJSUho1bmlIduA93EarU5xOUvkUwEmImFRXFHMEwVPMLb3WI7vf7zbcaQdstZS/ulKp1VETi4Va9cCkDD4CLrPnElqdhaJw4ZhYrShedvbDGQDG4HjgT7uxokCKsBEJCye/vhp9lTu4e6xd2tBs7QZW1lJYOEip+jKnUP1tm0QE0Py6NH0vPtuUrOziO/f3+2Y7dzXQBawFXgXFV/NowJMRELui91f8MqaVzhv8Hkc1e0ot+NIlKvZswf/R3Mpyc0hMHcewUAAk5SEd/IkvFm34p0+jdiuXd2O2UF8hVN87QT+C2grruZSASYiIffbJb8lKTaJWaNmuR1FolRVYSEluXMoyc2hdPESqK7Gk5ZGp1NPwZuVRcqECcQkJrodswPKxVls/wEw1t0oUUYFmEgHsHz7cvIK81r0mk8L97B2W0mLr1VUVkFaagJ/WL4EcNZ++Qp93DXmLroldmvx+aQZWtnmob5WtX1ojma0hmhI0YZiOsf6+eKcX1KxejUA8YMG0f3qq/BmZZE0YoTWc7mmGqeE+C5Op/s0d+NEIRVgIh3Ak8ufZOHWhcSY5v+wCgYteFpxsS6w0xj+vOLbp0b3HM0lR1/SipNJs7SyzUN9rWr70BwHaQ1xABukpqSEml27qdm9m+TKCrptX0pM7yR63nUn3qwsEg5zp82I7GsVcBZOd/tJqPhqHRVgIh1AkCDH9jqWv5z8l2a/5qI/Oc1MG2onIRGoNW0e6jvEtg+tUeP3E5g7l5KcXPxz5xIsKcEkJpIyaRKpWVl4ZzxIbDeNnEaOT3DucowF9PdyKFSAiYhIWFVt2ULJnDn4c3IJLFoEVVV4unUj9cQTSM3OdtZzJWnT5sizDDgBSMZZ+zXY3ThRTgWYiIiElLWWis8+oyTH6c9VvmoVAPEDB9LtistJzcoiaeRIjKc1c94SHmtx+nx1xim+Brkbpx1QASYiIm3OVlVRunSpM7WYm0tVYSEYQ9KIEfS443ZSs7NJGKQf4tFjEM6C+5uBAS5naR9UgImISJuo8QcI5M37dj1XcTEmPp6UiRPpfv11pE6fTmyPZizGlwiSh1N89QF+73KW9kUFmIiItFrVtu345+Q6+y0uWICtqsLTpQupM2bgzc7CO2kSMcnJbseUVvkAp8XEKcDrLmdpf1SAiXQA1cHqFrWgkJZbOa+QtYu2hediJVshsE+riFb22aqvaJOftAxvo8dYa6lYtw5/rlN0la9w+o3E9e9P10svJTU7i6RRozCx+vES3d4FzgGOAp52OUv7pP8hIu3cmm/WULC9gCuHXul2lHZt7aJtzSpg2kRgB1QGnKILmt9nqwlpGV6OHNfrgOdtdTWly5bhz8mlJDeXqq+/BiBx+HB63Hqrs9/iEUdoj892403gAmAYzvZC3d2N006pABNpx6y1PLDoAbokdGFm5ky347R7aRlezrljdOgv9MJPnLeH2verEcFAAL/Phz8nF/9HH1GzezcmLo7kCePp/r3v4Z0xg7hePUN2fXFLDfBzYCTwPtDFzTDtmgowkXbsfxv+x9JtS/nJ+J/QOaGz23EkwlXv2PFtf67587GVlcR07ox32lRSs7JJmTwZjzfF7ZgSMhZn+4t3gUSgk7tx2jkVYCLtVHl1Ob9f8nuO7Hok5w0+z+04EoGstVR+8YVz12JODmWffALWEte3L10uvojUrGySjx2NiYtzO6qE3IvAf4C/AxrZDAcVYCLt1EurXmJzYDPPTXoOT4waXIrD1tRQtnw5Jblz8OfkULlhAwCJQ4eS9v1ZTn+uI4/Ueq4O5VngOpxGq1WACu5wUAEm0g5tC2zjzyv+zPH9j2dc+ji344jLgmVlBHw+Z6Trww+p2bUL4uJIOe44ul11pbOeq3dvt2OKK54EZuG0mvgXztSjhIMKMJEoU1FTQXl1eaPHPLLsEWqCNdw+5vYwpZJIU71zJ/45cyjJySWQn4+tqCAmNRXvtGmkZmeRMmUKHm8Y7tiUCLa3+DoLeBVIcDdOB6MCTCSKfLDhA36Y90PKqsuaPHZm5kz6pfYLQ6p6lrwAK14L+WVWbs9kbdExIb9OcxWV9iAtece3dyiG0tYV0DvzgKcrvvgSf24OJTm5lBUUgLXE9kmnywUXkJo1g+SxY7WeS/YxFrga+BOadgw/FWAiUcBay19X/ZWHljxEZo9MThl4SqPHp8SlcNqg08KUrp4Vrx20QGhLa4uO+bboiQBpyTs4Mm11eC7WOxMyz8cGg5QVfFxXdFV++SUACUOOIe2mm0jNziLh6KO1nkv2YQEfMBkYV/tH3KACTCTC1QRreHDxg/x9zd85YcAJ/Hryr0mMjfB1Gr0zQ9qjCoDfLyMNOOeOU0N7nQgTLC8nkD+fkn/n4L9lKjU7d0JsLCnjxjqd6LNmENenj9sxJSJZ4CfAr4B3cNZ9iVtUgIlEsNKqUn4w9wd8tOkjrh56Nbcee6u2FOqAqnftwj/nQ0pycwj48rFlZcR4vXinTsGblY136hQ8ndSzSRpjgR8ADwHXACe5G0dUgIlEqh2lO7gp5yY+2/UZPzruR1x89MVuR5IwqtywgZKcXEpycyhbthyCQWJ796bLOWfjzcomZdxYTHy82zElKljgVuBx4Kbat/pFzm0qwEQi0Ppd67kx50Z2V+zmD1l/YGrGVLcjSYjZYJDyFSvqiq7K9Z8DkHDUUaRdfx3erGwShw7Rei5pBR9O0XUb8HtA/4YigQowkQizYMsCbptzG0mxSfzl5L8wpPsQtyNJiAQrKihdsMDpzzVnDtU7doDHQ/KYMXS98EK8WVnEZ2S4HVOi3mRgPnAcKr4ihwowkXqWbF3C9tLtrlx7c2AzTy5/koGdB/LH7D+S7k0PyXVeXriR2QWFjR6zassehqQ3sa6ooZYTIboDcuW8QtYu2lb3uGiTn7SM6OtjVbN7N/6PPnKKrrw8bGkpMcnJpEyZQmp2Ft6pU/F06eJ2TIl61cANwCVAFjDe3ThyABVgIvvI2ZDDrR/e6mqG8enjeXj6w6TGp4bsGrMLCpsssIakd+KskX0bP1FDLSdqWyS0tbWLtu1XdKVleDlyXK82v04oVG7ahD/HaRVRunQp1NQQ26MHnc84g9TsLJLHjydG67mkzVQBlwH/AI7EKcAk0qgAE6lVUVPB75b8jiO6HMHvp/8e48JQfYyJoV9qv7Dc6TgkvROvXjfh0E8UjpYTtdIyvJxzx+iwXOtQWGsp/3QlJbk5+HNyqVi7FoCEwUfQfeZMUrOzSBw2DBOjhdDS1iqBi4E3cO54vMPdOHJQKsBEav111V8p9Bfy7InPMqjzILfjSJQJVlZSunAhJTk5+HPnUL19O8TEkHzssfS8525Ss7KI79/f7ZjSrlUA5wFv4yy6/767caRRKsBEgO2l23nmk2fI6pfF+HStlZDmqSkuxj93rrPf4rx5BAMBTFIS3smT8GZn4502jdiuXd2OKR1GHNADeBq4zuUs0hQVYCLAY8seozpYzZ1j7nQ7ikS4qsLC2lYRuZQuWQLV1XjS0uh06il4s7JImTCBmMQI36lA2pkAsBvoCzyP7nSMDirApMP7tOhT3vz8Tb477Lv06+TC5tUS0ay1lK9ahb+26KpYswaA+MMPp/vVVzvruYYP13oucUkJcBqwHfgE0M0c0UIFmHRo1loeWPQA3RO7c+3wa92OIxHCVlYSWLzYKbrmzKF6yxYwhqTRo+l5112kZmcRP3Cg2zGlw9uNs5/jYuBlVHxFFxVg0qG98+U7fLzjY+6feD8pcSlux4ksDfX4qq+Nen7V7/HVkFD3/aopKcE/dy7+nFz88+YRLCnBJCaSMmkSqbNm4Z0xndhu3UJ2fZGW+QZnP8ePgX8C57gbR1pMBZh0WKVVpTy89GGGdB/CWUec5XacyNNQj6/62qjnV/0eXw0JRd+vqi1bKMnNxZ+TS2DxYqiqwtOtG6knnkBqdraznispqU2vKdI2bseZcvwXcLrLWaQ1VIBJh/XCyhfYXrqdh6Y9FJa+W1GpnfX4stZS8dlnTquInFzKV60CIH7gQLpdcTmp2dkkjRiB8XhCmkPk0P0euBqY5nYQaSUVYNIhbfZv5oVPX+CUgacwqucot+NICNmqKkqXLnW2/snJoWrzZmc914gR9LjjdlKzs0kYpL5vEg02A7/GKb66o+IruqkAkw7pkaWPYDDcduxtbkeREKjxBwjkzXOKro8+IrhnDyYhgZQJE+h+w/WkzphBbFqa2zFFWuBrnC2FtgLXACPcjSOHTAWYdDhLty3lva/e44YRN4Rss2sJv6pt2/HPyXX2W1ywAFtVhadLF1KzsvBmZ+GdNImY5GS3Y4q0wlc4xddO4L+o+GofVIBJh1ITrOHBRQ/SK7kXVw+72u04cgistVSsW4c/1ym6ylesACCuf3+6XnopqdlZJI0ahYnVtzmJZutxii8/kAOMcTeOtBl9Z5IOZfbns1n9zWoenPIgSbG6uy3a2OpqSpcuw5+bQ0nuHKq+/hqAxBHD6XHrrU5/riOOwBh1Apf2wg8kAW8CI92NIm1KBZi47uWFG5ldUNii1/hjVrMl9q9YU9mi19VQSpI9nL/8rwsvMr9Fr21PVm3Zw5D0Tvs/Wb/vVxv1+DpUwUAAf54Pf24O/g8/oqa4GBMfT/KE8XSfORPvjOnE9ezpdkyRNrYd6IlTdK1EP67bH/2NiutmFxQ2XBAcRJAqtsT+FbB4a1q2FsIQS/ea4zEdfK+0IemdOGtk3/2frN/3q416fLVG1fbt+Od8SEluDqXzF2ArK4np3JnU6dPwZmXjnTyJmBQ1zpX26mPgeOBHwK3oR3X7pL9ViQhD0jvx6nUTmnXscyue49FlRfzp+D8xse/EECfrYMLY96u+YFkZRX96hpLcHMo//gSAuIwMul5yMd6sbJKPHa31XNIBLAVOAFJw9niU9krfzSSqFJUV8cwnzzA9Y7qKryhna2ooW76ckpxcylb1xFaUs6PgMRKHDaPHLTfjzcom4cjBWs8lHcgC4GSgK5ALHOZuHAkpFWASVR5b9hiVwUruHHun21GkFYJlZQR8Pqc/14cfUrNrF8TFETPxXjy9e3PEo3OI693b7ZgiLvgGp/hKwym++rsbR0JOBZhEjZVFK5m9fjZXDr2SAZ0GuB1Hmql65078c+ZQkpNLID8fW1FBTGoq3mnTSM3OImXKFNb8aS2Aii/pwLoBzwITgb5NHCvtgQowiQrWWh5c/CBdE7ty7fBr3Y4jTaj44kunVUROLmUFBWAtsX3S6XLBBaRmZ5E8ZgwmLs7tmCIR4L9ADXAKcIHLWSScVIBJRNpUsolAVaDu8dJtS1m+fTk/n/hzUuNTXUwmDbE1NZR9/Eld0VX55ZcAJAw5hrSbbiI1O4uEo4/Wei6R/bwNnAuMAk4CYtyNI2GlAkxarTX9uxpSvwXFW1+8xb3z7j3guGO6HcNZh591yNcTDuz5BS3u+xUsLyeQP5+S3Bz8cz6kZudOiI0lZdxYpxN91gzi+vRp8LUr5xWydtG2usdFm/ykZXhb9amIRKc3gIuA4cA7qPjqeFSASau1tH/XwezbkypQFeDhJQ8ztPtQrsm8Zr/jxqaPxRPjOaRrSa36Pb+gWX2/qnftquvPFfDlY8vKiPF68U6d4vTnmjoFT6em/z2sXbRtv6IrLcPLkeN6HdKnJBI9/gF8B2dbofeALq6mEXeoAJND0pL+Xc3x5xV/ZkfZDh6d8SjDewxvs/NKA5rZ86tywwZKcnIpyc2hbNlyCAaJ7d2bLuecjTcrm5RxYzHx8S2+fFqGl3PuGN2a5CJR7iNgAs4U5KH9AivRK2QFmDHmZOAxwAP82Vr7QL2Pdwb+hnOvbSzwkLX2hVDlkcj3dcnXvLTyJc4YdIaKLxfZYJDyTz5xiq45uVSu/xyAhKOPJu366/BmZZM4dIjWc4m0WCmQDPwBKK99XzqqkBRgxhgP8CROO99NwGJjzJvW2lX7HHYTsMpae4YxpgfwmTHm/6y1LdvcT9qNh5c8jCfGwy2jb3E7SocTrKggMH8+/pxcSj6cQ82OIvB4SB47lq4XXoQ3K4v4DN0aL9J6fwJ+A+QBGaj4klCNgI0D1ltrvwAwxrwCnAXsW4BZINU4v0Z7cbrQVYcoj0S4RVsW8cHGD/j+qO/TK0VrgcKhuqwG/7//jT8nF7/Phy0tJSY5mZSpU0nNzsI7dSqezp3djinSDvwBuBlna6E0l7NIpAhVAdYX+Hqfx5uA4+od8wTwJrAZSAUustYGQ5RHIlh1sJoHFz9In5Q+XDHkCrfjtGuVX39NSU4O/pc3U7qpHOy9xPbsSeczzyA1O5vk444jphXruUTkYH4P3AmcDbwK6P+XOEJVgDW0OMTWe3wSUABkAYcD/zPGzLPW7tnvRMZcC1wL0L+/tmZwU/22E6u2b6Rn+hqe/3T1IZ13w54NrN21lt9P+z2JsYmHGjNq1G/F0KZKtkJgBwDByiA1ZTXUlAUJVjm/48T0ug7PYbF4Mo4iJiUZMLAIWPRpaPLUo7YT0jG8iFN8XQD8H6Dmw/KtUBVgm4B++zzOwBnp2tfVwAPWWgusN8Z8CRyN82OgjrX2GeAZgDFjxtQv4iSM6red6N5nKdtj3+WRpYd+7hn9ZnDCgBMO/URRpH4rhjZjg9Ts3EqNv4KayhhsjfPfJiYhhrguccQmeTCxBlJ6QEpK2167mdR2QjqGs4CfAT9CTQekvlD9i1gMDDbGHAYUAhfjND3Z10YgG5hnjOkFHAV8EaI80kb2bTvx8JL5vLwmgXkXzzvk8yZ6EjvkXXVt1YqhprgY/9y5zn6L8+YRDAQwcQbv9OPxZmfhnTaN2K5d2yCxiDTOAs/j/MjrAtznahqJXCEpwKy11caYWcD7OG0onrfWrjTGXF/78aeBXwB/McaswJmyvNtaWxSKPBI6BkNSbJLbMTqkqsLC2v5cuZQuWQLV1XjS0uh06ql47TxSBiQSc83jbscU6UAszpTjwzhtJm5yN45EtJCNiVpr38HZX2Hf557e5/3NwImhur5Ie2OtpXzVKqdVRG4uFWvWABB/+OF0v/pqUrOzSBw+HBMTAy+c5nJakY4mCNyCc3/Z94Eb3Y0jEU+T0iIRzFZWEli82Cm65syhessWiIkhadQoet51F6nZWcQPHOh2TJEOLgjcgLNc+Q7gdzR8L5rIt1SAiUSYmpIS/HPnOv255s4l6PdjEhNJmTSJ1Fmz8M6YTmy3bm7HFJE6hcC/gB8Cv0TFlzSHCjCRCFC1ZQslubn4c3IJLF4MVVV4unUj9aQTSc3OJmXCBGKStNZOJLLUADE4N/2vAHqh4kuaSwWYNOizbz7j4aUPUxOsqXvuq7hiAGa+73RH31CywZVs7YG1lmBpKTW7dvHlub+ifJWzSUT8wIF0u+JyUrOzSRoxAuPxHPjiJS/Aitcav8DWFc5m2yISIlXApcBg4FdAb3fjSNRRASYNWrhlIfmb8xneYzixxvlnYo2zU1RVsAqAPil9yOqX5VrGaGOrqihdsoSSnFz8ubmU97wAMJiEBHreeQferGwSBh3W9IlWvNZ0gdU7EzLPb7PsIrKvCpzuSv/G6XQv0nIqwKRRTx//NKnxqQBc9Kf5ALx4ygQ3I0WVGr+fwLx5TtE1dy7BPXswCQmkTJxIfOfD8HTpwsB7rmv5iXtnwtVvt31gEWlCOXAezk3+fwBmuRtHopYKMJE2VrVtG/7cXEpycilduBBbVYWnSxdSs7NJzc4iZeJEYpKTWfL7ZW5HFZEWsTjF17vAn6jdJU+kVVSAiRwiay0Va9fhz82hJCeX8k+d/RTjBvSn62WXkZqdRdKoUQ2v5xKRKGKAy3H2drzK3SgS9VSAibSCra6mdOmyuqKratMmABJHDKfHbbc5/bkOP7xDbq8k0v7sAZYCM3DWfokcOhVgIs0UDATw5/nw5+bg//AjaoqLMfHxJE8YT/drrsE7YzpxPXu6HVNE2tRu4GScNhNfAvo/Lm1DBZhII6q2b8c/50NKcnMonb8AW1mJp3NnvNOn4c3Kxjt5EjEpKW7HFJGQ+AZnx7xPgH+i4kvakgowkX1Ya6n8/PPaTa5zKP/4EwDiMjLoesnFeLOyST52NKvmb2Phom3w6WetvlbRJj9pGd62ii4ibWoHcDzwGU67iVNdTSPtjwow6fBsTQ1ly5fXFV1VGzYCkDhsGD1uudnpz3Xk4P3Wc61dtO2QC6i0DC9Hjut1yPlFJBReANYB/wFOcDmLtEcqwKRDCpaWEsjPd/pzffghNbt2QVwcKccdR/errsKblUVcr8aLo7QML+fcMTpMiUUkPCzO3Y53AWcCR7sbR9otFWDSYVQXFeH/8ENKcnIJ5OdjKyqI6dQJ79SpTn+uKVPweDUlKNJxbQQuA57D2WJIxZeEjgowadcqvviirilqWUEBWEtsn3S6XHABqdlZJI8Zg4mLczumiLjuS5w2E7uBXe5GkQ5BBZi0K7amhrKPP6YkJwd/Ti6VX30FQOKQIaTNuonU7GwSjjpK/blEZB/rgCygFMgBjnU3jnQIKsAk6gXLy2vXc9X259q5E2JjSRk3jq6XX0ZqVhZx6eluxxSRiLQemAZUAbnACHfjSIehAkwatGyjMwR/9QuL8JAMwKotexiS3snNWHVsdTXF/3mLkg8+IODzYcvLifF68U6dijc7C+/UqXhSUw943cp5haxdtO2Qr68WEiLtRW9gAnA/MNTlLNKRqACTBn1aWAz1lkYNSe/EWSP7uhOonh2PPsrOPz9HbO/edDn3XLzZWaSMHYuJj2/0dW3RPgLUQkIk+q0EBgBe4HWXs0hHpAJMGvXC1eNIjT9wJMlNlV99xc4XX6LzWWeR/sBvWryeS+0jRDq6xTgd7k8D/uZyFumoYtwOINJS2377O2Li4uhxx+1aTC8iLTQfp8N9V+CXLmeRjkwFmEQVv8+HPzeX7tdfr42vRaSF5uKMfPUEPgIGuppGOjYVYBI1bHU12x94gLh+/eh25RVuxxGRqFINfA/IwCm++rkbRzo8rQGTqLHr1VepWLeevn94nJiEBLfjiEhUicXZ17EroBtoxH0aAZOoULN7N0WP/4Hk8eNJPf54t+OISNR4C7gbZ4/Ho1HxJZFCI2Ad0MsLNzK7oLDRY7YFKqB7mAI1w44nnqSmpIRe996LMaZ5/bxKtkJgx35PFZX2IC15B7zwkxCmDbGtK6B3ptspRKLAG8BFOM1VS4EUd+OI7EMjYB3Q7IJCVm3Z0+gxvTpFzhRfxbp17Pr73+ly0YUkHnUk8G0/r0YFdkBlYL+n0pJ3cGTa6lBFDY/emZB5vtspRCLcq8AFwBjgA1R8SaTRCFgHNSS9E69eN+GgH39p5Tp+tySMgQ7CWsu23zxATEoKPW6+eb+PNdnPa+8o19VvhzChiESe/wOuACYBbwOR1ctQBDQCJhHOP+dDAvn59Jh1E7Fdu7odR0SiQjJOr693UfElkUoFmEQsW1nJtgcfIH7QILpeconbcUQk4n1R+/Yc4D007SiRTAWYRKxv/vo3qjZspNe992Di4pp+gYh0YI8DR+E0WwXQLhkS2VSASUSqLiqi6Kmn8E6bhnfKFLfjiEhEewi4BTgDGO9yFpHmUQEmEWnHY48RLC+n5913ux1FRCLar4C7cNpNvArEuxtHpJl0F2Q71FSfr1Vb9jAkvVMYE7XMx68v59N1GcRm/4I1b+wCdh1wTNEmP2kZ3vCHE5EI8gHwY+By4Hn0I02iiUbA2qGm+nwNSe/EWSP7hjFRy3yWX4jf25e4PukHPSYtw8uR49TRWqRjy8YZ9XoBFV8SbfQvtp1qqs9XJKspLqaTDXLu3ae7HUVEIo4Ffg5cCAypfSsSfTQCJhGlpqSEoN+Pp1Nnt6OISMQJAt/HKcBedTmLyKHRCJhElMCCBYDF01kFmIjsKwhcB/wZZ9H9z1xNI3KoNAImESWQ54MYDzFeNVAUkb1qgO/iFF8/Bh5Efb4k2qkAk4hhrSWQl4enUycw+qcpIntVAhuB+4FfoOJL2gNNQUrEqNqwgarCQjxjNP0oIgBVQBnQCXgf0I4Y0n6oAIsyTfX4gtD1+Vo5r5C1i7a1+Xn3qt6+jcqRt1BankhayK4iItGhAucOxyLgI1R8SXujeZ4o01SPLwhdn6+1i7ZRtMnf5ufdq6Z4DyYhkbT+ndTjS6RDK8PZUPtN4FI0ViDtkf5VRyE3e3ylZXg5547RbX5eW1nJ2vHX0OnMM0i/46o2P7+IRItS4CwgB3gWmOluHJEQUQEmEaG0oIBgaSneyZPdjiIirroWyAX+AlzhbhSREFIBJhEh4MsHj4fk445zO4qIuOpnONOP57mcQyS0tAZMIkIgL4+kkSPxpKa6HUVEwm4X8BDONkNHoOJLOgIVYOK66m++oXzVKryTJ7kdRUTCbifOpto/Ala4nEUkfDQFKQC8984CNizdXfe4pDKJMytm8f7ja/AYDwBFm/ykZXjb/NqB/PlgLSmTVICJdCzbgeOBtcBsYLi7cUTCSAWYALBw3hpS96SxM+XbHmMeE0uM+bbjdFqGNyTtIQJ5eXg6dyZx6NA2P7eIRKotOCNfXwFv4RRiIh2HCjABnG2AbPdybrv327UXKXEpJMUmhfy6AZ+P5IkTMB5PSK8lIpFkFbANeBeY5nIWkfBTASZ1YkwMaUnh7UFfsXYd1Tt2qP2ESIdRDiTijH59ibPNkEjHo0X44qqAzweg9V8iHcIXwBDgldrHKr6k49IImLgqkJdH/BGHE9e7t9tRRCSk1gJZONsMHelyFhH3aQRMXBMsL6d0yRK8Gv0SaedW46zzqgTmAG2/nZlItNEImLimdPESbGUlKVr/JdKObccpvmKAD3GmIEVEBVgHsHJeIWsXbWv0mM7+XpBQHqZEjkBeHiY+nuQxY9rmhEtegBWvfft46wrondk25xaRVuoJ3AWcCRzlchaRyKEpyA5g7aJtFG3yH/Tjeyr3UJT8NalDgmFMBYF8H8ljjiUmqY1aXax4zSm69uqdCZnnt825RaSFFgMFte/fhYovkf1pBKyDSMvwcs4dB667qA5Wc8F/LqCsuoyfnj07bHmqtm6lYt16Op99TtueuHcmXP12255TRFooHzgZOAZYAJjGDxfpgDQC1sG9tvY11u9ez51j7iTBkxC26wZ8+QCkaP9HkXZmLnAi0Bt4HRVfIg1TAdaBFVcU82TBk4ztPZbs/tlhvXbAl4enRxoJR+p2dJH2Iwdn5Ks/8BGQ4W4ckQimAqwDe+rjp9hTuYe7x96NMeH7LdXW1BDw5eOdOCms1xWRUHsSOALnbsd0d6OIRDitAeugPt/9Oa+seYXzB5/PUd3Cuzi2fNUqaoqL1X5CpN0I4vw+/39AKdDd3TgiUUAjYB2QtZbfLf4dybHJ3DTqprBfv277oYkTwn5tEWlrrwOTgN1AEiq+RJpHI2AR7OWFG5ldULjfc6u27GFIeuP7p9Xv+1W0yU9ahrfu8fLty/Ft9nHXmLvoltitbUM3gz8vj8QhQ4jtfgjfqOv3/AL1/RIJu1eAy4Dj0GJ7kZbRCFgEm11QyKote/Z7bkh6J84a2bfR19Xv+5WW4eXIcb3qHm8v3Q7A5L7hnwKs8fspK/j40Kcf6/f8AvX9Egmrl4BLcUa/3gM6uxtHJMpoBCzCDUnvxKvXtXyq7mB9v9xWunAhVFeT0hb7P6rnl4hL/g5chbO59mwgxdU0ItFII2ASVv68PExyMsmjRrodRURabSLwPeA/qPgSaR0VYBJWAV8+KePGYeLj3Y4iIi32X5w7HgcAz+IsuheR1lABJmFTuXEjVRs3qv2ESFT6LXAS8Ge3g4i0CyrAJGzq2k9MmuhyEhFpmV8AdwMXA991OYtI+6ACTMLGn+cjrm9f4gcOdDuKiDSLBX4C/BS4AvgbundLpG3of1IINNS/qzWa0/MrWtiqKkoXLKDTaae1bvuh+n2/1PNLJAw+Bx4CZgJ/Qr+zi7Qd/W8KgYb6d7VGc3p+RYuyjz8mGAiQMrmV7Sfq9/1Szy+RMDgCWIyKL5G2pxGwEGlt/672yp+XBx4PKePHt/4k6vslEgZB4GZgNM56r2HuxhFpp/QrjYRFwJdP0vDheDq1jylVkfapBrgWeBJY53IWkfZNBZiEXPWuXZR/+mnrpx9FJAyqgauB53AW3v/a3Tgi7ZymICXkSufPB2vxtsX2QyISAkHgcpzNtX8B/NjdOCIdgAowCTl/no+YTp1IzNRdiyKRKQbIBEYBP3A5i0jHoAKsDdRvOxHK9hEr5xWydtG2Ro8p2uQnLcNb93jBlgUs3LKw7vHnuz8PSbaGWGsJ+HykTJiA8XjCdl0RaY4KnFYTQ4AfupxFpGNRAdYG9rad2Ft0hbJ9xNpF2w4osOpLy/By5LhedY//sOwPfFL0CbEx3/51pyWl0T2pe0gy7qty/Xqqt23T+i+RiFMGnAssAtYDXd2NI9LBqABrI+FsO5GW4eWcO0Y3+/igDTK572SeOv6pEKZqmL92+yGt/xKJJAHgLCAXZ29HFV8i4aYCTEIqkOcjftAg4vr0cTuKiABQApwO5AEvAZe5G0ekg1IbCgmZYHk5pYsXa/pRJKL8FvABL6PiS8Q9GgGTkClduhRbUaHpR5GI8mPgRGCK20FEOjSNgEnIBPJ8mLg4kseOdTuKSAdXhDPaVQQkoOJLxH0qwCRkAj4fScceS0xysttRRDqw7UAW8Dqw0uUsIrKXpiAjWP2eX0GCFH5VRElqEX//zwPNPs+XxV8ypveYUEQ8qKpt26lYu5aed94R1uuKyL62ANnAV8BbwDRX04jIt1SARbD6Pb+qaqrYlrSBkr6F9Ezu2ezz9EzuyemHnx6qmA0K5OcDkKL1XyIu2YQz8rUZeA+Y6m4cEdlPyAowY8zJwGOAB/iztfaAIRtjzHTgUSAOKLLW6tezevbt+fX1nq/51RvX8uvJv+aMw89wOVnjAnl5eNLSSDjqKLejiHRQBkgF/gtMdDmLiNQXkgLMGOMBngROwPk1bLEx5k1r7ap9jukC/BE42Vq70RjT/CEdiWg2GCSQn0/KlMmYGC0zFAmvQqAX0BdYglOIiUikCdVPx3HAemvtF9baSuAVnLbL+/oO8C9r7UYAa+32EGWRMCtftZqaXbvwTp7sdhSRDuYznG+/t9U+VvElEqlCVYD1Bb7e5/Gm2uf2dSTQ1RjzoTFmqTHmihBlkTAL5OUBkDJR0x4i4bMKZ5F9NXCty1lEpCmhWgPW0K9dtoFrH4tzi04SMN8Ys8Bau3a/ExlzLbXfTfr37x+CqNLWAj4fCcccQ2xamttRRDqIT4Djcb6t5gDHuBtHRJoUqhGwTUC/fR5n4NyKU/+Y96y1AWttETAXGFH/RNbaZ6y1Y6y1Y3r06BGiuNJWavwBSpcvx6vth0TCpAI4A6fB6keo+BKJDqEaAVsMDDbGHIazIvRinDVf+5oNPGGMiQXigeOAR0KUR8KkdNEiqK4+tPYTS16AFa/t/9zWFdA789DCibRLCcBfcX7PHeRyFhFprpCMgFlrq4FZwPvAauAf1tqVxpjrjTHX1x6zGqc5zSfAIpxWFZ+GIo+ETyAvD5OURNLo0a0/yYrXnIJrX70zIfP8Qwsn0q74gD/Vvj8VFV8i0SVkfcCste8A79R77ul6j38H/C5UGST8Aj4fyePGEhMff2gn6p0JV7/dNqFE2p0PgdNxRr2uBBJdTSMiLacmTdJmKjdtonLDBryT1H5CJHT+B5wKDMApxFR8iUQjFWDSZgJ5PgBStABfJETewVlwPxin+OrtahoRaT0VYNJmAr48YvukE3/YYW5HEWmn1gJDgVxAd4WLRDMVYNImbFUVgfkL8E6ajDHqvi3StnbXvr0VyAe6u5ZERNpGyBbhS+PKqsv48OsPqQ5W1z3n/ziWwOpv/0oqt8cQ3zPIfz7/DwDflH8T7pjNVrZiBUG/v3ntJxpqM7EvtZwQ2cfLODeV5wIjcdpOiEi0UwHmkh/l/Yj/bfjffs+duXIW3QN92ZlS6DyRAOvilrI6b/5+x3VN7BqumM0WyMuDmBhSJoxv+uC9bSYOVmSp5YRIrReBq3HaTBzhchYRaUsqwFyweOti/rfhf3xv2Pc4d/C5dc/nb9sEaXD+9cP3OfqU/V4b74mnd0rkLbz1+3wkZWbi6dy5eS9QmwmRJjwLXIezW9tsINndOCLSplSAhVlNsIYHFz1Ieko614+4nsTYb28hX+opAqB/p+ja87Jm927KV3xK2g03uB1FpJ14H2cL3FOAf6FWEyLtjxbhh9m/1v+Lz3Z9xu1jbt+v+IpmgQULIBg8tO2HRGQfWTg9qt9AxZdI+9SsAswYE2uMSQ91mPZuT+Uenlj+BKN7juakASe5HafN+PPyiElNJWm4Fs6LHJpnga1AHHAnWnAv0n41WYAZY64E3gXeqy3E/hn6WO3Tnz7+E7vKd3HPuHvaTasGay0BXz4pEyZgYjWjLdJ6v8CZdnzc7SAiEgbNGQGbaa09AfimdpNtNaBphS+Lv+Tl1S9z7uBzOab7MW7HaTOVX3xB9ZYtmn4UaTUL/Bj4Kc6+jr9wN46IhEVzhiyqjTFewBpjkoBgiDNFva2Brfyx4I9UBavqnlvzzRoSYhOYNWoWACvnFbJ20bb9Xle0yU9ahjesWQ9VIC8PQAWYSKtY4AfAQ8A1wNNoaa5Ix9CcAuxu4DXgmNq394Q0UTuQvzmfN9a/QXpKOh7jASDGxPDj8T8mLSkNgLWLth1QcKVleDlyXC9XMreW3+cjfuBA4jP6uh1FJAqVAG8DN+FMPar4EukomlOApVprT977wBijoY5meumUlxrt2ZWW4eWcO0aHMVHbClZUULpoMV3OV9NUkZYJAjVAJ5ythToD7WNdqIg0T3N+3fpRvcd3hCKIRJ+yZcuw5eWkTJrodhSRKFIDzAS+U/t+F1R8iXQ8By3AjDFXG2PmAaONMXONMfOMMXOBL8IXTyKZPy8P4uJIGTfO7SgiUaIaZ6H9C8BQNOUo0nEddArSWvsC8IIx5gxr7X/CmEmiRMCXT/KoUcSkpLgdRSQKVAGXAf8AfgX80N04IuKq5qwBW26M+QXQh9pxcmvtd0OaSiJe9Y4dVKxZQ4/bb3c7ikiUuAan+HoIreQQkeaMf/8f8CHOXZAvA7tDmEeiRCA/HwDvZN2TIdI81wJPouJLRKB5BVjQWpsDVFtrPwCGhziTRAF/ng9Pt24kHH2021FEIlgpTvcegInAjS5mEZFI0pwC7GNjTCKQY4yZg/MdRTowGwwS8PlImTQJE6NFxCINCwCnAxcBq13OIiKRpsk1YNbaW2vf/bkx5g9AfEgTScSrWLOGmm++UfsJkYMqAU4DfMCLOCs4RES+ddACzBjTFbik9uFfgf44PcHSgBNDH00ilT/PB0DKRBVgIgfaDZwCLAb+DlzoahoRiUyNjYC9AryE0yUwD1gC/MxauzYMuSSCBXw+Eo46iriePd2OIhKB/gssA/4JnONyFhGJVI0VYLHW2v8DMMZcA8y01trwxJJIFQwEKF22jG5XXO52FJEIY3E69VwIHAcMcDeOiES0xgqww40x9+N8R+mCswYMAGvtT0MfTSJRYPFiqKrCO0ntJ0S+tRU4C/gdMBUVXyLSlMYKsCv3ef+DUAeR6BDI82ESE0k69li3o4hEiM1AFvA1zt6OIiJNa2wroo/CGSRavLxwI7MLCvd7btWWPQxJ7+RSovAK+HwkjxtLTEKC21FEIsDXOMXXVuA9YIq7cUQkaqiJUwvNLihk1ZY9+z03JL0TZ43s61Ki8KkqLKTyyy81/SgCOEXXVGA78D9UfIlISzRnL0iMMbFAD2vtlhDniQpD0jvx6nUT3I4RdnXtJyZPdjmJSCToAZwMfA8Y43IWEYk2TY6AGWOuBN4F3jPGxBpj/hn6WBKJAj4fsb17Ez9okNtRRFz0GbAJ8ABPoeJLRFqjOVOQM621JwDfWGurge4hziQRyFZXE5g/n5TJk9h7N6xIx/MpzrTjd3DaToiItE5zCrBqY4wXsMaYJCAY4kwSgcpWrCBYUqL1X9KBfQzMwBn5eganQ4+ISOs0pwC7G3gNZzOz14B7Q5pIIlIgzwfGkDKh4619E4GlOMVXIvARcLS7cUQk6jVnEf5X1tqTQ55EIlrA5yMxMxNPly5uRxEJMwvcAXQGcoHD3I0jIu1Cc0bAnjDGvGWMuckYkx7yRO3A9tLtGAxJsUluR2kTNcXFlH3yCd7Jmn6Ujsjg7Ov4ESq+RKStNFmAWWsvBC4AtgC/M8Z8GOpQ0S6vMI+h3YfSOaGz21HaRGDBQggG1X5COpgPcRbbV+K0nOjvahoRaV+a24h1NM6tPxnAwtDFiX67y3ezomgFUzLaT1PGQF4eMV4vSZmZbkcRCZP/AafiLLwvdjmLiLRHTa4Bqx3x8gEvWWtvDXWgaJe/OZ+gDTKlb/sowKy1+H15pEwYj4mLczuOSBi8A5yLs9D+fzijXyIibeugBZgxxlhrLZBNbcMbY0wMgLVWrSgOYl7hPLomdGVo2lC3o7SJyi+/onrzFlKuvdbtKCJh8CZwPjAc+C/Qzd04ItJuNTYC9nvgduADvu04aGrfzwpxrqgUtEF8hT4m9Z1EjGkf22wG8vIAbT8kHUVfnN85/w50cTeKiLRrBy3ArLW31777K2vtB3ufN8boJ/FBrCxaya6KXe1m+hGc9hNxA/oTn5HhdhSREPoUGAYci7PzmohIaDWnD9gPcUbB9rodyAtNnOg2r3AeMSaGiX0muh2lTQQrKwksWkSXc85p/UmWvAArXtv/ua0roLcW9Euk+AvwXeBvOHc9ioiEXmNrwK7G+a6UaYyZy7fTj4vClC3qzNs0j8y0TLokdnE7SpsoW7YcW1ZGyqH0/1rx2oEFV+9MyDz/0AOKHLJngOuAE4Cz3Y0iIh1KY1OQLwAvGGPOsNb+J4yZolJRWRGf7vyUWSNnuR2lzQR8eRAbS/K44w7tRL0z4eq32yaUSJt5Avg+cBrOLmuJ7sYRkQ6lsRGwe621vwEuNMZcsO/HrLVXhDxZlMnfnA/Qrvp/+X0+kkeNwuNNcTuKSBtbBdyMM+r1KhDvahoR6XgaWwP2fO3bH4cjSLTL25RH98TuHN2tfWzSW11URMWq1fS49Va3o4iEwBDgfWA6oP52IhJ+B+2VYK3dVvvuDGvtBqAn8EdgbDiCRZPqYDW+zT4m953cftpP5Dsjemo/Ie2HBX6J01wVnHVfKr5ExB3NqRYuq307C5gJ3BO6ONFpRdEK9lTuaVfTjwGfD0/XriQOOcbtKCJtwAI/An4CvOFyFhGR5rWh8BpjpgJ+a+0WY0wg1KGizbxN8/AYDxP6THA7SpuwwSB+Xz4pEydiYtrHiJ50ZBa4E3gY547HJ9yNIyJC8wqw24BTgF8YYxKBf4U2UmR5eeFGZhcU1j1etWUPQ9I77XfMwi0LGd5jOJ3iO9V/eZ2V8wpZu2hb3eOiTX7SMrxtH7gNVKxdS01RESmTDqH9hEhECAK38O0dj4/hdNQREXFXc4Y3FuK0ib4aOJMO9uvj7IJCVm3ZU/d4SHonzhrZd79j/FV+eiQ1vmHv2kXbKNrkr3ucluHlyHG92jZsG6nbfkgFmLQLpTgjYCq+RCRyNGcE7K/ASmApMAanXfQloQwVaYakd+LV6w59ejEtw8s5d4xug0Sh5ff5SBg8mLhePd2OItJKNcAOoDfwLE7hpeJLRCJHcwqwDGvtpbXvv2+M+SiUgcRdwdJSypYspetllzV9sEhEqgauBOYDBcDBlwaIiLilOQVYoTHmR8AynBGwLaGNJG4qXbIEW1V1aNsPibimCrgU+CfwG1R8iUikas4asMuBz4DhwBq+bUsh7ZA/Lw+TkEDysce6HUWkhSqAC3GKr4dRxxwRiWSNbUV0NnA3zgpWD3CvtXZ+mHKJSwJ5PpLHjiUmUfviSbT5CfBvnPuEbnI3iohIExqbgrwHyLLWlhpjegAv47SOlibUbzkBkd12Yq+qzZup/OILulxwQdMHi0Sce3BWSVzodhARkSY1NgVZBpQZY2KAnUCscagzZxPqt5yAyG47sZff5wPAq/VfEjX8OB3uy4FuqPgSkWjR1CL8HJx7t23t49za97NCGao9iJaWE/sK+PKJ7dWL+COOcDuKSDPsAU4FFgDZ6NuSiESTgxZg1toZ4Qwi7rI1NQTmzyc1Oxtj1C9JIt1u4GSc9oR/R8WXiESb5rShkA6g/NNPCRYXkzJpottRRJrwDXAi8AnwGnCWu3FERFpBBZgATvsJjCFlogowiXRbav/8G2cKUkQk+jS5oN4Y09kYc48x5kFjjMcYc3o4gkl4BXz5JA4bRmzXrm5HETmIEpwlqEOB9aj4EpFo1pw7Gv+Gs5/HBGttDXBrKANJ+NWUlFD28ceafpQIVojTYuLXtY+TXMwiInLomlOAJVlr38PZYA20o227E5g/H2pq8E6e7HYUkQZsBKYBm2vfiohEv+asAVtrjLkb6GaMuQ1YGeJMEmYBXz4xKSkkjRjhdhSRer7EucNxF/A/YLy7cURE2kiTI2DW2htxiq7/A9Zba28OeSoJG2stgbw8ksePx8TFuR1HZB9lOMVXMU5LQhVfItJ+NGcR/lScjocLgeLax9JOVG3YQFVhodZ/SQRKwlnzNQfQ5vAi0r40Zwpyb0NWA2Ti3IY0N2SJJKz8eXu3H9L6L4kUnwJfA6cAl7icRUQkNJoswKy1P9/3sTHm3yFLI2EX8PmI69+f+P793Y4ignPD9fFAZ2A1EO9qGhGRUGmyADPGfHefh+lAWujiSDjZykpKFy6k01lnuh1FBFiC0+HeC7yPii8Rac+a04aipvZPNc7cwMkhTSRhU1pQQLC0VNOPEgHm42yo3QVnhYM2hBeR9q3RETDj7Mp8ibVWRVc7FMjzQWwsyccd17oTLHkBVrzW+DFbV0DvzNadXzqQ14FeOHc79nM5i4hI6B10BMwY85y11gLrjDEXGWOOMMYMMsYMCmM+CaFAXh5JI0fg8Xpbd4IVrzkFVmN6Z0Lm+a07v3QAe/s7/xZYgIovEekoGhsBO6z2rRc4qfbPXt898HCJJtXffEP5qlX0uOUQ27r1zoSr326bUNLBvA98v/btYUA3d+OIiIRRYwXYaGPMXA7cesiGMI+EScCXD0CK1n+JK94CzgOGAKkuZxERCb/GCrDl1toZjXxcoljA58PTuTOJQ4a4HUU6nDeAi4AROKNfGvkSkY6nOXdBSjtjrSXg85EyaSLG43E7jnQo/wUuAMYAH6DiS0Q6qsYKsLPClkLCqmLtOqp37CBlkqYfJdzGAzfijHx1djmLiIh7DlqAWWv3hDOIhE8gLw9A+z9KGL0FlAKdgMfRui8R6eiasxektDMBXx4Jg48grnfvlr2wft8v9fiSZnkauAH4CXC/y1lERCKD1oB1MMGyMkqXLCVl4qSWv7h+3y/1+JImPY5TfJ0O/NDlLCIikUMjYB1M6ZIl2MrK1refUN8vabbfAT8AzgFeQXs7ioh8SyNgHUwgz4eJjyd5zLFuR5F27Rvg9zjtJl5FxZeIyP40AtbB+H15JI8ZQ0xSkttRpF3a26e5G87WQhno24yIyIE0AtaBVG3dSuX6z0mZ1Ir1XyJNssC9wD217w9ExZeISMNUgHUgAZ8P0PZDEgoWuB14EChxOYuISOQL2a+nxpiTgccAD/Bna+0DBzluLM5cxUXW2tcaOkZaqH67iFqB2duI9XpI8N0K+fW3+GwGtZ2QBgVxNtX+I3AL8AgHbiErIiL7CskImDHGAzwJnIKz2+4lxpgDNh2sPe5BnLbY0lbqt4sAbNAS+KqMlIFJGNPKH45qOyEN2lt83YWKLxGR5gnVCNg4YL219gsAY8wrOFsbrap33PeB14GxIcrRcdVrF1H+ySfUlF9EylU/g9NPcy+XtEPTgO7Az1HxJSLSPKFaA9YX+Hqfx5tqn6tjjOmL0yDo6RBlkH0EfD4whpSJE9yOIu1CNTC/9v0LcTrcq/gSEWmuUBVgDX0ntvUePwrcba2tafRExlxrjFlijFmyY8eOtsrX4fjzfCQOGUJst25uR5GoVwVcDEwF1rucRUQkOoWqANsE9NvncQawud4xY4BXjDFfAecDfzTGnF3/RNbaZ6y1Y6y1Y3r06BGiuO1bjd9PWUGB2k9IG6jA+e/6OvBb4Ah344iIRKlQrQFbDAw2xhwGFOL8uvydfQ+w1h62931jzF+At6y1/w5Rng6tdMECqKkhZbIKMDkUZcB5wLs499jc6G4cEZEoFpICzFpbbYyZhXN3owd43lq70hhzfe3Hte4rjPw+HzHJySSPHOl2FIlqfwPeA54FZrqcRUQkuoWsD5i19h3gnXrPNVh4WWuvClWOqHaQfl5NqtevK5DnI/m44zDx2o9PDsVMYDhwnNtBRESinjrhR7IG+nk1yz79uio3bqTq6681/SittAdnzddanHtrVHyJiLQFbdQW6er182opf14eAF4twJcW2wWcDCwDLgeOdDeOiEg7ogKsnQvk+YjLyCBuwAC3o0hU2QmcAHwKvIbTR1lERNqKpiDbMVtVRemCBaRMmtT67YekA9oBzMDZuGI2Kr5ERNqeCrB2rKyggGBpqdZ/SQslA32At3C2cxURkbamKch2zO/zgcdDyvjxbkeRqLAZSK398y7aWkhEJHQ0AtaOBfJ8JI0YgSc11e0oEvE2AFP4tl+yii8RkVDSCFgb6Pv1MNKXjuSNpcsAKNrkJy3D62qm6l27KF+5krRZN7maQ6LBFzhrvvYAP3E5i4hIx6ARsDaQvvko4nd3qnucluHlyHG9XEwEgfx8sBbv5Mmu5pBItxZnU20/kAOMczeOiEgHoRGwNlLZZQ/n3HGS2zHqBHz5xHTuTOKwYW5HkYhlgUuBSuBDILPRo0VEpO2oAGuHrLUE8vJImTAB4/G4HUcilsHZ37EGGOJyFhGRjkVTkO1Qxbp1VG/fjlftJ6RBy4Ef44yAHYWKLxGR8FMB1g4FfPkApGj7ITnAIiAL+CtQ5HIWEZGOSwVYOxTIyyP+8MOJS093O4pElHzgeKArMBfo4W4cEZEOTGvAIsmSF2DFa98+3rrC2Yy7BYLl5ZQuWUKXiy5s43AS3eYCp+J0uM8FMtyNIyLSwWkELJKseM0puvbqnQmZ57foFKVLlmIrKtR+QuopBo4APkLFl4iI+zQCFml6Z8LVb7f65QGfDxMXR/KYMW0YSqLXdqAncAbOCJjuihURiQQaAWtnAnl5JI05lpjkZLejiOv+AxyGs68jqPgSEYkcKsDakapt26lYt07TjwK8DpwLDAW0GbuISKRRAdaOBHw+QO0n5BXgIpxthf6Hc9ejiIhEEhVg7UggLw9PWhoJRx3ldhRxTQHO9kKTgPeAzq6mERGRhqkAaydsMEggPx/vpIkYY9yOI64ZAfwJeAdIdTmLiIgcjAqwdqJ85Spqdu8mReu/OqjngE9x9necCaS4G0dERBqlAuwQbdizgYqacuI98a7mqFv/NXGiqznEDY/iFF0Pu5xDRESaSwXYIXpo8UMYE0PvlN6u5gjk5ZEw5Bhiu3d3NYeE22+B24DzgKddziIiIs2lAuwQ5Bfm8+GmD+mT0oe4mDjXctT4A5QWFODV3Y8dzC+Au4GLce58dHcUVkREmk8FWCtVBav47eLf0i+1H71SerqapXTRQqiuJmWS1n91HNU4+zteDvwNbWohIhJd9F27lf7x2T/4vPhzHpvxGMVfulvHBvJ8mORkkkaPcjWHhIMFyoBk4E2cUS91uBcRiTYaAWuF3eW7+WPBHzku/Thm9Jvhdhz8vjxSxo4lJl5TUO2bxVnvNQMoBZJQ8SUiEp1UgLXCkwVP4q/yc/fYu13vuVX59ddUbdio9hPtXhC4CXgMmIhTfImISLRSAdZCG/ds5J9r/8kFR17A4K6D3Y6j7Yc6hBrgWuApnEX3D+P0+xIRkWilAqyFNuzZQI2t4fRBp7sdBQB/Xh5xffoQf9hAt6NIyNyL02j1J8BvUPElIhL9tAi/lWKM+7WrraqidMFCOp1yiutToRJK1wN9gVvcDiIiIm3E/SpCWq3sk08I+v1a/9UuVQLP4Kz9GoSKLxGR9kUFWBQL+HwQE0PKhPFuR5E2VQGcD1wHfORyFhERCQVNQUYxf56PpOHD8XTq5HYUaTNlwDnA+8AfcVpOiIhIe6MRsChVs3s35StWaPqxXQkApwP/Bf4M3OBuHBERCRmNgEWpwPz5YC0pkya6HUXazMfAfOBFnC2GRESkvVIBFi5LXoAVrzV+zNYV0DuzWafz5+UR06kTSZnNO14iWQ1OR/uJwJdAL3fjiIhIyGkKMlxWvOYUWI3pnQmZ5zd5KmstAV8+KePHY2JVQ0e3XcAk4K+1j1V8iYh0BPrpHU69M+Hqtw/5NJWff0711q2k3Kg1QtGtCDgBWAV0cTeKiIiElQqwKLR3+yGvth+KYtuBbGA9MBs42d04IiISVirAopA/z0f8YYcR17ev21GkVQLAdOAr4C2cQkxERDoSrQGLMsGKCkoXL1b7iaiWgnOX43uo+BIR6Zg0AhZlypYuxZaXq/1EVNoAfAOMwtlgW0REOioVYG2hZCsEdsALPzn4MS1oMdEYv88HcXGkjBt3yOeScPocyALigDXov56ISMemnwJtIbADKgONH9PMFhNNXirPR/Lo0cQkJx/yuSRcPsOZaiwH/of+24mIiH4StJX4lDZpMdGYqu3bqfjsM3rccXtIryNtaRXOyJcF5gBqnCsiIirAokogPx9Q+4no8luce11ygGNcziIiIpFCBVgUCeT58HTvTsLRR7sdRZpkAQM8DWwFBrqaRkREIovaUEQJGwwSyM8nZeJETIz+2iLbQpw1X98Aiaj4EhGR+vSTPEqUr15NzTff4J2s6cfIloezvdAGwO9yFhERiVQqwKJEwOes/0qZqP5fketDnC2F0oG5QH9X04iISOTSGrAW2rksyJkrZ/HJlt18HrcMgKLSHqQl7wjpdQN5eSQcfTSxPXqE9DrSWh8CpwKHAR/gFGEiIiIN0whYC+3+NEj3wP57MKYl7+DItNUhu2YwEKB0+XJNP0a0w3GmHueg4ktERJqiEbBW2JlSyPHf68/wHsOdJxrrgN8GAosWQVUVKWo/EYEWA6OBfsBsl7OIiEi00AhYFAjk+TCJiSQde6zbUWQ/rwETcXp9iYiINJ8KsCgQ8PlIHjeWmPh4t6NInZeBi4HjgJtcziIiItFGBViEq9xUSOVXX+GdPNntKFLnReAyYArwHtDJ3TgiIhJ1VIBFuIDPB6D1XxFjG86IVzbwNuB1N46IiEQlLcKPcIG8PGLT04kfNMjtKAJAL77dVDvR5SwiIhKtNAIWwWx1NYEFC/BOnoQxxu04HdwjwDO1749FxZeIiBwKFWARrOyTFQRLSjT96LoHgNuBHJxNtkVERA6NCrAIFvD5ICaGlPHj3Y7Sgd0P3At8B/g/QCORIiJy6FSARbBAXh6JmcPwdOnidpQO6ifAfcBVwEtoyaSIiLQVFWARqqa4mLIVK/BOUvsJ93iBa4DnAI/LWUREpD3Rr/QRKjB/AQSDpGj/xzCzwJfAIODu2seadhQRkbalEbAIFfDlEeP1kjR8uNtROpAgcAPO3o4ba59T8SUiIm1PBVgEstbi9/lImTAeE6tByvCoAWYCf8Ipwvq5G0dERNo1FWARqPLLL6nevIUUrf8Kk2qchfYv4Cy6/zUa+RIRkVDS8EoECuTVbj+k9V9h8iTwN+BXwA9dziIiIh2BCrAI5PflET9gAPEZGW5H6SD2Tjme63YQERHpIDQFGWGClZWULlpMymRNP4ZWOXArsAOIR8WXiIiEkwqwCFO2bBm2rEzbD4VUGXAW8BiQ63IWERHpiDQFGWECeXkQF0fKcePcjtJOBYAzgA+B54GLXE0jIiIdkwqwCOP35ZM8ciQxKSluR2mHSoDTAB/O1kKXuRtHREQ6LE1BRpDqoiIqVq/W+q+QCQDfAH9HxZeIiLhJI2ARJJCfD6D1X22uGEgBegPLgTh344iISIenEbAI4s/Lw9OtG4lDjnE7SjtSBEzH2VQbVHyJiEgkUAEWIWwwSCB/PikTJ2Ji9NfSNrbhFF9rgEvcjSIiIrIPTUFGiIrPPqOmqEjTj21mM5CNs6n220CWu3FERET2oQIsQgR8tdsPTZrocpL2IAicDmwC3gOmuBtHRESkHhVgEcKf5yPhyCOJ69nT7SjtQAzwKE6H+/HuRhEREWmAFhtFgGBpKWVLl6r9xCFbDzxX+/5UVHyJiEik0ghYBChdvBhbVaXpx0OyBmfNVyVwDtDN3TgiIiKN0AhYBPDn+TAJCSSPGeN2lCj1Kc7djjXAHFR8iYhIpFMBFgECPh/JY8cSk5DgdpQo9DEwA+ef8ofAMFfTiIiINIcKMJdVbd5M5RdfkDJZ7SdaZz6QBHwEHO1yFhERkeZRAeYyf237Ca8W4LdQee3b63GmIAe7mEVERKRlVIC5LJDnI7ZXL+IPP9ztKFEkDxgELKx93MnFLCIiIi0XsgLMGHOyMeYzY8x6Y8w9DXz8UmPMJ7V/8o0xI0KVJVLZmhoC8+eTMnkSxhi340SJOcBJOEVXP5eziIiItE5ICjBjjAd4EjgFGAJcYowZUu+wL4Fp1trhwC+AZ0KRJZKVr1hBcM8evNp+qJn+C5wKHIaz5quPu3FERERaKVQjYOOA9dbaL6y1lcArwFn7HmCtzbfW7qp9uADICFGWiOXP84ExJE+Y4HaUKLAUOBM4CmcUrJe7cURERA5BqAqwvsDX+zzeVPvcwXwPeDdEWSJWwOcjcdgwYrt2dTtKFBgB3AnkAj1cziIiInJoQlWANbSgyTZ4oDEzcAqwuw/y8WuNMUuMMUt27NjRhhHdVbNnD2WffKL2E036D7AFZ9OGX6ImqyIi0h6EqgDbxP4rpDOAzfUPMsYMB/4MnGWt3dnQiay1z1hrx1hrx/To0X5GPgILFkBNjdZ/NepvwNnAj13OISIi0rZCVYAtBgYbYw4zxsQDFwNv7nuAMaY/8C/gcmvt2hDliFiBPB8xKSkkjehwN38201+AK4BpwOPuRhEREWljIdmM21pbbYyZBbwPeIDnrbUrjTHX1378aeCnQHfgj7UtGKqttR1iM0RrLYG8PJInjMfExbkdJwI9A1wHnAi8ASS7G0dERKSNhaQAA7DWvgO8U++5p/d5fyYwM1TXj2SVX31F1ebNdL+mQ376TagA/oDTbuJ1INHdOCIiIiEQsgIsWr28cCOzCwrrHq/asoch6W3baT3gywcgRdsP1RMEEnDudOxU+76IiEj7o62I6pldUMiqLXvqHg9J78RZIxvroNFygbw84vr3J76fOrl/6zfABUAVTpsJFV8iItJ+aQSsAUPSO/HqdaFpjmorKwksWkSXs89q+uAOwQL3Az8DLqXhDiYiIiLtiwqwMCtdXoAtLSVF7Sdwiq8f4Yx+XYXTkcTjZiAREZGw0BRkmAXy8iA2luTjjnM7SgS4D6f4uhZ4DhVfIiLSUWgELMwCPh/JI0fi8XrdjhIBTsO56/EBNPUoIiIdiUbAwqh6507KV63q4NsPBXHawwEcBzyIii8REeloVICFUSB/PgApkzpq+4kanG0/TwZ8LmcRERFxj6Ygm7ByXiFrF22re1y2zba6Q0IgLw9Ply4kDjmmjdJFk2rgSuBl4OfARHfjiIiIuEgjYE1Yu2gbRZv8dY9j0ipZl7aUroldW3Qeay3+fB8pEydiPB1tsXkV8B2c4us3OLtQadpRREQ6Lo2ANUNahpdz7hgNwI0f3EhgTyH9UlvWRLVi7VpqdhR10PYTucA/gYeB21zOIiIi4j4VYC1QXl3Ooq2LOP/I81v82kBeHkAHXYB/ErACGOZ2EBERkYigKcgWWLJtCRU1FUzpO6XFrw34fCQMPoK4Xr1CkCwSlQJnAx/WPlbxJSIispcKsBaYt2keiZ5ExvQe06LXBcvKKF2ytAPd/ejH6fH1JrDR5SwiIiKRR1OQzWStZe6muYxLH0eCp2W3QZYuWYKtrCRlckcowPYApwILgL/hLL4XERGRfWkErJk27NnAJv+m1k0/5uVhEhJIHnNsCJJFkhLgRGAh8AoqvkRERBqmAqyZ8gqdRfST+7Z8FMvv85E8ZgwxiYltHSvCJOOs9XoNaPmNCiIiIh2FpiCbaV7hPAZ1HkRGakaLXle1ZQuV6z+ny7nnhShZJNgBlAP9gD+7nEVERCTyaQSsGYK2hsVbF7dq9Cvgc7bcab/tJ7YC04HTcbYaEhERkaZoBKwZ9lSWUBWsYkpGy9d/+X0+Ynv2JGHw4BAkc1shkFX79i2go3X4FxERaR2NgDVDcUUxybHJjO45ukWvszU1BPLnkzJpEsa0t613NgLTgC3AezijYCIiItIcGgFrhuKKYsanjyfeE9+i15WvXEmwuLidbj90K1AE/BcY724UERGRKKMCrAll1WVUBiuYnNGKux/z8sAYUiZNDEEytz0DbAJGupxDREQk+mgKsgnFFcUArdx+KJ/EoUOJ7dq1rWO5ZA3wXaACSEPFl4iISOtoBKwJeyr3kOhJondKb+eJJS/Aitf2P2jrCuidud9TNSUllBUU0H3mzDAlDbVPgWzA4Cy6H+RuHBERkSimEbAmVNZUkhi7TwPVFa85Bde+emdC5v6NR0sXLoSaGrztov1EAc4i+1jgI1R8iYiIHBqNgDWhKlhFakzq/k/2zoSr3270df68PGKSk0kaMSKE6cJhCc72Ql4gFzjC3TgiIiLtgEbAGlFZU0mNrSbOE9ei11lrCeT5SB4/HhPfsjsnI08McBgwFxVfIiIibUMFWCOKyooAiItpWQFWtXEjVZs2Rfndjxtq347GGQUb6F4UERGRdkYFWCNaW4D585yNu72TW966IjLkAEOAp2sft7cmsiIiIu5SAdaIHWU7AFo8BRnw5ROXkUFc//6hiBVi7+Ps6zgIOMflLCIiIu2TCrBG7CzbCUB8C0bAbGUlpQsWkDI5Grcfegs4EzgamAP0cjeOiIhIO6UCrBHOCJghtgUFWNnHHxMsLY3C6cdC4HxgOM4UZJq7cURERNoxFWCNKCorIjYmFtOCNVD+PB94PCQfd1wIk4VCX+BV4AOgm8tZRERE2jcVYI0oKi1q8QL8gM9H0siReFJTmz44IvwfzrovgLOAzi5mERER6RhUgDViR9mOFhVg1bt2Ub5yZRS1n3geuBz4A2BdziIiItJxqBN+I4rKWjYCFvDlg7VRsv7raeAGnC73/0StJkSkqqqKTZs2UV5e7nYUkaiSmJhIRkYGcXHNrxlUgB1E0AbZWbazRS0oAj4fns6dSRw6NITJ2sLjwC3AacBrQGLjh4tIh7Bp0yZSU1MZOHBgFN7FLeIOay07d+5k06ZNHHbYYc1+naYgD6K4ophqW93sETBrLQGfj+SJEzAeT4jTHQoLfIrT4+tfqPgSkb3Ky8vp3r27ii+RFjDG0L179xaPHGsE7CDqmrBWBmDPCnjhJ84Htq5wNuOup2LdOqq3b8c7aVI4Y7bQbqALzvRjDdCyGwxEpP1T8SXScq35f6MRsIMoKq3dhqi8BCoD336gdyZknn/A8YE8HwApEbn+ywL3ASOBbTh/7Sq+RCTyeL3eQz7HkiVLuPnmmw/68a+++oqXX3652ccDDBw4kMzMTIYPH860adPYsGFDo8eH09NPP81LL73kdoxW++abbzjhhBMYPHgwJ5xwArt27WrwuEceeYShQ4cybNgwLrnkkroRp4KCAsaPH8/IkSMZM2YMixYtCmf8VlMBdhBF5U4BFo+B+BS4+u1v/4y5+oDjAz4f8UccTlzv3uGO2gQL3AvcD2SjBqsi0t6NGTOGxx9//KAfr1+ANXX8XnPmzOGTTz5h+vTp/PKXvzzknNZagsHgIZ/n+uuv54orrjjk87jlgQceIDs7m3Xr1pGdnc0DDzxwwDGFhYU8/vjjLFmyhE8//ZSamhpeeeUVAH7wgx9w3333UVBQwP33388PfvCDcH8KraIC7CB2lNZOQTbj2GB5OaVLlkTg9KMFbgcexLnj8VkgkteniYgcaO8Ix/DhwznnnHPqRkgWL17M8OHDmTBhAnfddRfDhg0D4MMPP+T0008H4KOPPmLkyJGMHDmSUaNGUVJSwj333MO8efMYOXIkjzzyyH7H+/1+rr766rrRrtdff/2APBMmTKCwsBCAHTt2cN555zF27FjGjh2Lz+ere/6EE05g9OjRXHfddQwYMICioiK++uorjjnmGG688UZGjx7N119/ze9+9zvGjh3L8OHDue+++wAIBAKcdtppjBgxgmHDhvHqq68CcM899zBkyBCGDx/OnXfeCcDPfvYzHnrooUa/VtOnT+fuu+9m3LhxHHnkkcybN6/Jr/vZZ5/Nsccey9ChQ3nmmWfqnt93lPK1117jqquuAmDbtm2cc845jBgxghEjRpCfn9/kNQBmz57NlVdeCcCVV17Jv//97waPq66upqysjOrqakpLS+nTpw/gTP/t2bMHgOLi4rrnI53WgB1EUVkRybHJxDSjPUPpkqXYiooInH58BHgU547HR1CrCRFprp//ZyWrNu9p03MO6dOJ+85o+V3iV1xxBX/4wx+YNm0aP/3pT/n5z3/Oo48+ytVXX80zzzzDxIkTueeeexp87UMPPcSTTz7JpEmT8Pv9JCYm8sADD/DQQw/x1ltvAU7BttcvfvELOnfuzIoVKwAanA577733OPvsswG45ZZbuO2225g8eTIbN27kpJNOYvXq1fz85z8nKyuLe++9l/fee2+/Auazzz7jhRde4I9//CP//e9/WbduHYsWLcJay5lnnsncuXPZsWMHffr04e233wacwuKbb77hjTfeYM2aNRhj2L17d7O/VuAUMIsWLeKdd97h5z//OR988EGjX/fnn3+ebt26UVZWxtixYznvvPPo3r37QY+/+eabmTZtGm+88QY1NTX4/X4ApkyZQklJyQHHP/TQQxx//PFs27aN9PR0ANLT09m+ffsBx/bt25c777yT/v37k5SUxIknnsiJJ54IwKOPPspJJ53EnXfeSTAYbHbh5zYVYAdRVFZEWlLzpusCeXmY+HiSx4wJcaqW+i7OGN4sVHyJSDQqLi5m9+7dTJs2DXBGSC644AJ2795NSUkJEyc6ja+/853v1BVU+5o0aRK33347l156Keeeey4ZGRmNXu+DDz6om9oC6Nq1a937M2bMYNu2bfTs2bNuCvKDDz5g1apVdcfs2bOHkpIS8vLyeOONNwA4+eST9zvPgAEDGD9+PAD//e9/+e9//8uoUaMAZwRu3bp1TJkyhTvvvJO7776b008/nSlTplBdXU1iYiIzZ87ktNNOqxu1a+prtde5554LwLHHHstXX33V6NcB4PHHH6/7HL7++mvWrVvXaAGWm5tbtxbN4/HQubOzs0pzRtuasmvXLmbPns2XX35Jly5duOCCC/jb3/7GZZddxlNPPcUjjzzCeeedxz/+8Q++973vNVlcRgIVYAfRogLMl0fymGOJSUoKcarmqMEZ9boR547H77sZRkSiVGtGqsLJ2ubt3nHPPfdw2mmn8c477zB+/PgmfzBbaw96R9ucOXNISUnhqquu4qc//SkPP/wwwWCQ+fPnk1Tv+39j+VJSUvY77t577+W666474LilS5fyzjvvcO+993LiiSfy05/+lEWLFpGTk8Mrr7zCE088QW5ubqOfz74SEhIApziqrq5u9NgPP/yQDz74gPnz55OcnMz06dPrFr3v+/VpTuuFpkbAevXqxZYtW0hPT2fLli307NnzgGM/+OADDjvsMHr06AE4xWR+fj6XXXYZL774Io899hgAF1xwATNnzmwyUyTQGrCDKCorokdyjyaPq9q2jYp160mJiPVf1ThbC90J/NvdKCIibaBz58507dq1bhTlr3/9K9OmTaNr166kpqayYMECgP1Grfb1+eefk5mZyd13382YMWNYs2YNqampDRYEACeeeCJPPPFE3eP6U5BJSUk8+uijvPTSS3zzzTcHHF9QUADA5MmT+cc//gE4o1wHu7PvpJNO4vnnn6+brissLGT79u1s3ryZ5ORkLrvsMu68806WLVuG3++nuLiYU089lUcffbTuWk19rRpTWFhIdnb2Ac8XFxfTtWtXkpOTWbNmTd3XGaBXr16sXr2aYDBYN0IGkJ2dzVNPPQVATU1N3bqsefPmUVBQcMCf448/HoAzzzyTF198EYAXX3yRs84664A8/fv3Z8GCBZSWlmKtJScnh2OOOQaAPn368NFHHwHOKNzgwYMb/ZwjhUbADmJH2Q4mJTVdVEVO+4lK4DvA68ADwCXuxhERaYXS0tL9pglvv/12XnzxRa6//npKS0sZNGgQL7zwAgDPPfcc11xzDSkpKUyfPr1uymtfjz76KHPmzMHj8TBkyBBOOeUUYmJiiI2NZcSIEVx11VV1038AP/7xj7npppsYNmwYHo+H++67r27qbq/09HQuueQSnnzySR5//HFuuukmhg8fTnV1NVOnTuXpp5/mvvvu45JLLuHVV19l2rRppKenk5qaWldo7XXiiSeyevVqJkyYADgL3P/2t7+xfv167rrrLmJiYoiLi+Opp56ipKSEs846i/Lycqy1PPLIIwd8vgf7Wh3Mli1biI09sBQ4+eSTefrppxk+fDhHHXVU3ZQpOHctnn766fTr149hw4bVfU6PPfYY1157Lc899xwej4ennnqq7vNqzD333MOFF17Ic889R//+/fnnP/8JwObNm5k5cybvvPMOxx13HOeffz6jR48mNjaWUaNGce211wLw7LPPcsstt9RN0e673i6SmeYO40aCMWPG2CVLloT0Ghf9aT5BKliT+H1uGX0L3V9y7oM853dXNnh84e13EFi8iMFz57rYwLACuBB4E3gYuM2lHCISzVavXl03qhAN/H5/3R15DzzwAFu2bKmbinJbRUUFHo+H2NhY5s+fzw033HDAiFUkeOKJJ+jfvz9nnnmm21GiXkP/f4wxS621DS4Q1whYA6pNMQBpSWlYig96nK2pIZCfj3faNJe7R38NzAeexFn7JSLS/r399tv85je/obq6mgEDBvCXv/zF7Uh1Nm7cyIUXXkgwGCQ+Pp5nn33W7UgNmjVrltsROiwVYA2oxpm37pHUg+2NFGDlq1ZTs3u3i9OPlTh3OR4BrMVZdC8i0jFcdNFFXHTRRW7HaNDgwYNZvny52zEkgmkRfgP2HQFrTMCXB0DKxKbnuNueHzgR+Gnt4y4uZBAREZHWUAHWgGYXYHk+EocMIbaRviihsQc4GcgDhoT52iIiInKoVIA1oNoU4zEeuiZ2PegxNX4/pQUFLrSf2AWcACwEXkF3O4qIiEQfrQFrQDXFdE/sTow5eH1aunAhVFeHef1XDc7I13LgNeDAXikiIiIS+TQC1oBqs4e05KbWf/kwyckkjxoZnlCAs5H2LThNVlV8iUj786tf/YqhQ4cyfPhwRo4cycKFC/nZz37Gvffeu99xBQUFdbf8+/1+rrvuOg4//HCGDh3K1KlTWbhwoRvxD2Ct5eabb+aII45g+PDhLFu2rMHjpkyZUrdpeJ8+fer2miwuLuaMM85gxIgRDB06tMm+XhI9NALWgGpTTFrSYY0e48/zkTJuHCY+PgyJtgCfACfhNFsVEWl/5s+fz1tvvcWyZctISEigqKiIyspKLrnkEk455RR+85vf1B37yiuv8J3vON8PZ86cyWGHHca6deuIiYnhiy++YPXq1W59Gvt59913WbduHevWrWPhwoXccMMNDRaH++6XeN5559V1g3/yyScZMmQI//nPf9ixYwdHHXUUl156KfFh+dkjoaQRsAZUm2J6JB18G6LKjRup2rgxTOu/NgHTcAqvPWG4noiIO7Zs2UJaWlrdnoVpaWn06dOHo446ii5duuxXuPzjH//g4osv5vPPP2fhwoX88pe/JCbG+ZE2aNAgTjvttEavdf/99zN27FiGDRvGtddeW7d34/Tp09nb8LuoqIiBAwcCztY6d955J5mZmQwfPpw//OEPzfqcZs+ezRVXXIExhvHjx7N79262bNly0ONLSkrIzc2tGwEzxlBSUoK1Fr/fT7du3RrsXC/RR3+L9ViCVFPS6B2QAd/e7YdCXYBtALKAHcC7QKcQX09EpNa798DWFW17zt6ZcMoDB/3wiSeeyP3338+RRx7J8ccfz0UXXVS3l+Ell1zCK6+8wnHHHceCBQvo3r07gwcP5s0332TkyJF4PJ4WRZk1axY//anTxufyyy/nrbfe4owzzjjo8c888wxffvkly5cvJzY2lm+++QaA2267jTlz5hxw/MUXX8w999xDYWEh/fr1q3s+IyODwsJC0tPTG7zOG2+8QXZ2Np06darLeeaZZ9KnTx9KSkp49dVX6wpNiW4qwOqpZg8Y22gB5vf5iOvbl/ja34xC4wtgBlAMfACMC+G1RETc5/V6Wbp0KfPmzWPOnDlcdNFFPPDAA1x11VVcfPHFTJw4kd///ve88sorXHLJod0BPmfOHH77299SWlrKN998w9ChQxstwD744AOuv/76utGnbt26ATS4H+O+Gtrur7GdU/7+978zc+bMusfvv/8+I0eOJDc3l88//5wTTjiBKVOm1BVoEr1UgNVTbb7tgt8QW1VF6fwFdDrttBBvP/QSTrPVXGB0CK8jItKARkaqQsnj8TB9+nSmT59OZmYmL774IldddRX9+vVj4MCBfPTRR7z++uvMnz8fgKFDh/Lxxx8TDAabPTJUXl7OjTfeyJIlS+jXrx8/+9nPKC8vByA2NpZgMFh33F7W2ga/5zc1ApaRkcHXX39d9/ymTZvo06dPg7l27tzJokWLeOONN+qee+GFF7jnnnswxnDEEUdw2GGHsWbNGsaN0y/l0U7jmPXsbcLaPanh5qpln3xCMBAI4fTj3t+W7sNpN6HiS0Q6hs8++4x169bVPS4oKGDAgAF1jy+55BJuu+02Dj/8cDIyMgA4/PDDGTNmDPfdd1/daNO6deuYPXs2ANnZ2RQWFu53nb2FVVpaGn6/n9dee63uYwMHDmTp0qUA+z1/4okn8vTTT1NdXQ1QNwX5yCOPUFBQcMCfe+65B4AzzzyTl156CWstCxYsoHPnzgedfvznP//J6aefTmJiYt1z/fv3JycnB4Bt27bx2WefMWjQoOZ9QSWiqQCrZ28B1iO54REwf14eeDykjB8fgqt/glNwrQcM0D8E1xARiUx+v58rr7ySIUOGMHz4cFatWsXPfvazuo9fcMEFrFy5kosvvni/1/35z39m69atHHHEEWRmZnLNNdfQp08fgsEg69evr5su3KtLly5cc801ZGZmcvbZZzN27Ni6j91555089dRTTJw4kaKiorrnZ86cSf/+/Rk+fDgjRozg5ZdfbtbndOqppzJo0CCOOOIIrrnmGv74xz/u97HNmzfXPW5oavUnP/kJ+fn5ZGZmkp2dzYMPPkhaWuNtkiQ6mIbmpyPVmDFj7N67U0Il688/ZkfcbJZctoQETwJv3PUiAOf87koAvrzgQkxsLAP/3rz/fM23DKfDfSLOtONRbXx+EZHGrV69uq63Vnvw6aef8vzzz/Pwww+7HUU6gIb+/xhjllprxzR0vEbA6qk2xcTYZBI8CQd+bNcuyj/9NATtJxYB2YAXmIuKLxGRQzds2DAVXxKxVIDVU232EGs7N/ix0vnzwVq8bbr+azlwPNAVp/g6vA3PLSIiIpFIBVg91aaYWNvw7b1+n4+YTp1IzMxswysegbOt0FxgQBPHioiISHugAqyeaoqJ5cARMGstgTwfKRMmYFrY8K9hC4AAkAr8Fchog3OKiIhINFABtg9rbe0I2IEFWOXnn1O9bVsbtZ94D6fJ6l1tcC4RERGJNirA9hGoCmBNVYMFmD8vDwDvIS/A/w/OlOMxwC8O8VwiIiISjVSA7WNH2Q6O2TaBc1f25Y27XuSNu16kyO80ZA348okfNIi4g3Qwbp7XgXOBEUAO0HCzVxGRjsrj8TBy5EiGDRvGGWecwe7du9vkvH/5y1+YNWtWm5xr4MCBZGZmMnLkSEaOHEl+fn6bnLe+goIC3nnnnf2ee/fddxkzZgzHHHMMRx99NHfeeScAP/vZz3jooYfa7NoTJ06se/+uu+5i6NCh3HXXXTz99NO89NJLbXadcPnyyy857rjjGDx4MBdddBGVlZUNHveDH/yAoUOHcswxx3DzzTfXNfedMmVK3d93nz596jZLPxTaimgfFTUVDC46lpiK3hC7E4A0704GD02g9NHFdLnggkM4exlwK86eju9AA+vMREQ6uqSkJAoKCgC48sorefLJJ/nRj37kbqgGzJkzp8UNUaurq+v2kmyOgoIClixZwqmnngo4fc1mzZrF22+/zdFHH011dTXPPPNMizI0175F5Z/+9Cd27NhBQsKB7Zma0tLPOVTuvvtubrvtNi6++GKuv/56nnvuOW644Yb9jsnPz8fn8/HJJ58AMHnyZD766COmT5/OvHnz6o4777zzOOussw45k0bAGpKwlXN+d2Xdn4GD+2HLyw+x/UQSToPV91DxJSLStAkTJtRtI7Ro0SImTpzIqFGjmDhxIp999hngjGyde+65nHzyyQwePJgf/OAHda9/4YUXOPLII5k2bRo+n6/u+Q0bNpCdnc3w4cPJzs5m48aNAFx11VXccMMNzJgxg0GDBvHRRx/x3e9+l2OOOYarrrqq0ayNnfP2229nxowZ3H333Xz++eecfPLJHHvssUyZMoU1a9YAzjZEw4YNY8SIEUydOpXKykp++tOf8uqrrzJy5EheffVVfvvb3/KjH/2Io48+GnD2rbzxxhsPyPLss88yduxYRowYwXnnnUdpaWmD1wBYuXIl48aNY+TIkQwfPrxuKyiv1ws4WykFAgGOO+44Xn311f1G2g72udT/nA/G7/eTnZ3N6NGjyczMrNs+6quvvmLYsGF1xz300EN1OyKsX7+e448/nhEjRjB69Gg+//zzRv9ewFnfnZuby/nnnw84hf2///3vA44zxlBeXk5lZSUVFRVUVVXRq1ev/Y4pKSkhNzdXI2DhEvDlY+LiSN5nu4rmew74DHgQGNy2wUREQuTBRQ+y5ps1bXrOo7sdzd3jDv4DeV81NTXk5OTwve99z3nt0Uczd+5cYmNj+eCDD/jhD3/I66+/DjgjRcuXLychIYGjjjqK73//+8TGxnLfffexdOlSOnfuzIwZMxg1ahQAs2bN4oorruDKK6/k+eef5+abb677gbxr1y5yc3N58803OeOMM/D5fPz5z39m7NixFBQUMHLkSABmzJiBx+MhISGBhQsXNnrOtWvX8sEHH+DxeMjOzubpp59m8ODBLFy4kBtvvJHc3Fzuv/9+3n//ffr27cvu3buJj4/n/vvvZ8mSJTzxxBMAPPjgg9xxxx1Nfu3OPfdcrrnmGgB+/OMf89xzz/H973//gGsAPP3009xyyy1ceumlVFZWUlNTs9+53nzzTbxeb92o5L5bQ1177bUNfi71P+eDSUxM5I033qBTp04UFRUxfvx4zjzzzEY/t0svvZR77rmHc845h/LycoLBICUlJUyZMqXB419++WV69uxJly5d6kbiMjIyDtgfFJyCf8aMGaSnp2OtZdasWQd0tn/jjTfIzs6mU6eG21W1hAqwZgjk5ZF07LHEJCe38JV/BG4CTgaqgPg2zyYi0p6UlZUxcuRIvvrqK4499lhOOOEEAIqLi7nyyitZt24dxhiqqqrqXpOdnU3nzs7MwpAhQ9iwYQNFRUVMnz6dHj2cfX0vuugi1q5dC8D8+fP517/+BcDll1++36jZGWecgTGGzMxMevXqRWZt38ehQ4fy1Vdf1RVg9acgGzvnBRdcgMfjwe/3k5+fzwX7LGepqKgAYNKkSVx11VVceOGFnHvuuYf0Nfz000/58Y9/zO7du/H7/Zx00kkHvcaECRP41a9+xaZNmzj33HMZPLh5AwWNfS77fs6Nsdbywx/+kLlz5xITE0NhYSHbtm076PElJSUUFhZyzjnnAOy3afneArEhO3bsOOA5Y8wBz61fv57Vq1ezadMmAE444QTmzp1bN1oI8Pe//52ZM2c2+nk1lwqwJlRt307F2rX0vLPp3zr29yhwG3AG8E9UfIlINGnuSFVb27sGrLi4mNNPP50nn3ySm2++mZ/85CfMmDGDN954g6+++orp06fXvWbftUkej4fq6mqg4R+yDdn3uL3niomJ2e+8MTExdedt6TlTUlIACAaDdOnSpcFi4emnn2bhwoW8/fbbjBw5ssFjhg4dytKlSxkxYkSj177q/9u797iqqvTx459nuIiSWP68fEksQVMU5CCiKJSK5jXKyTHNytvk9NXxUs2IaTNZOWU1+lVTSuPnlOU4YVqo3bTUxLQU8RvliCh5adScxNtRIRBk/f44h/PjcoCDyoGG5/168Yqz99p7P+usjudh7bXXGjeOdevWYbFYWLFiBdu2bavwGg899BBRUVF8/PHHDBw4kOXLl9O3b98q61dZXUrWuTKrVq0iOzubvXv34uXlRZs2bcjLy8PT05OioiJHuby8PAAqWru6qh6wjh07cuHCBcd4tBMnTnCrkwfqkpOT6dGjh+P26+DBg9m1a5cjATt79iypqakkJydXWTdX6BiwKuTstA1ErN76j/+DLfn6DbAWqP7ARaWUqs+aNGnC4sWLmT9/PgUFBVitVlq1agXYxn1VJSoqim3btnH27FkKCgpYs2aNY190dDRJSUmALQm48847rzteV87p5+dHYGCgIxZjDN9++y1gG08VFRXFnDlzaNasGcePH6dx48ZcunTJcXx8fDxz58519OQVFRU5Xevy0qVL+Pv7U1BQwKpVqxzbnV3jyJEjBAUFMW3aNO677z7HAPSqVFaXslJTUxkzZky57VarlRYtWuDl5cUXX3zBDz/8AEDLli05ffo0Z8+eJT8/n48++shxzYCAAMet3fz8fHJzc2ncuDHp6elOfzp16oSIEBsby9q1awF4++23nQ6iv+2220hJSaGwsJCCggJSUlJK3YJcs2YNcXFxpXrerocmYFXI2bkTj2bNaNChOgtkBwKjgSS050sppa5Nly5dsFgsJCUlMWPGDGbNmkVMTEy5cUrO+Pv789xzz9GzZ0/uvvtuIiIiHPsWL17MW2+9RVhYGCtXruTVV1+97lhdPeeqVav429/+hsViISQkxDHwPD4+ns6dOxMaGkqvXr2wWCzExsaSkZHhGIQfFhbGokWLGDVqFB07diQ0NJRTp06Vu8Zf/vIXoqKi6N+/v2PAfkXXWL16NaGhoYSHh5OZmek0UapIRXUp61//+hcNGzYst/3hhx8mLS2NyMhIVq1a5YjVy8uL2bNnExUVRVxcXKk6rFy5ksWLFxMWFkZ0dDT//ve/XYr1lVdeYcGCBbRr146zZ886xhampaU5bikOHz6ctm3b0rlzZywWCxaLhXvvvddxjqSkJEaNGuXam+MCqahLry6KjIw0aWlpNXb+zHOZrHw5hYACDyYtnIApKiIr5k5877qTVn/9axVHG2A/EFpFOaWUqpsOHDhQbtCxUtcrPj6e0aNHExYWVtuh1Chnnx8R2WuMiXRWXseAVSLvwAGunj/PTVV2TxtgJrZbj7sAp++1UkopVe/MmzevtkOokzQBq0TODtu8Mb4lZgQuz2Ab7/UqMAmIqKSsUkoppZSOAatUzo4dNOjYEc8KZzsuwjbNxKvYZrl/DX1LlVJKKVUVzRYqcPVyDrnp6dwUU1nv1zpgKfAUsABw7ZFnpZRSStVveguyArmpqVBQgG+l47/uBz4FBqLJl1JKKaVcpT1gFcjZuRNp2JCGEWXHdBVgu+14AFvSNQhNvpRSSilVHZqAVSBnxw4ade/Gr7xLzuN1BXgQ2xJDW2snMKWU+g/m4eFBeHg4ISEhWCwWFixYUGpW9OqYPXs2mzdvrnD/smXLeOedd6p93k2bNhEeHk54eDg33XQTHTp0IDw8vFpzaFVk/vz5BAcHOxbNLo6vT58+3KhpmNLS0pg2bRpgm8z07rvvdsw1NmHCBDIyMm7Iddxp48aNdOjQgXbt2vHyyy87LTNv3jxHu4WGhuLh4cG5c+c4ePCgY3t4eDh+fn4sWrSo5oM2xvxifrp27Wpq0oGzB8zT8cvMsimJJqNDsDn79jsl9uYZY+61h7KoRuNQSqnakJGRUdshGF9fX8fvP/30k+nXr5+ZPXt2LUZUud69e5s9e/aU215YWFjtcy1dutQMGDDAWK1WY4wxFy5cMCtWrKj0Otfr66+/Nr169brm46+lnjdaYWGhCQoKMocPHzb5+fkmLCzM7N+/v9JjNmzYYGJjY52eq2XLlubYsWPVjsPZ5wdIMxXkNNoD5oTnFdvktL53Fi8/9DPwa+BDbL1fj9dKXEopVZ+0aNGCxMREEhISMMZw9epV4uPj6datG2FhYbzxxhuOsn/9618dM5jPnDkTsK2JWLz8zMyZM+nUqRNhYWFMnz4dgOeee4758+cDtsWce/ToQVhYGPfffz/nz58HbD1PTz31FN27d6d9+/Z8+eWXFcbbpk0b5syZw5133smaNWv47LPP6NmzJxERETzwwANcvnwZgL1799K7d2+6du3KwIEDHbPZz507l9dffx0/Pz/AthzT2LFjy11n0qRJREZGEhISwrPPPuvY7qyOa9ascfSmFa9puG3bNuLi4jh9+jSPPPII6enphIeHc/jw4VI9bRXFX7aeFUlNTSU6OpouXboQHR3NwYMHAdtSUlOmTHGUi4uLc6xXuXHjRiIiIrBYLPTr16/Cc5e9Trt27QgKCsLb25sHH3ywwln5i7377rtOZ7XfsmULbdu25fbbb3fp2tdDB+E74ZFv8LzVH+/AQPsWg+3243Lg0doLTCml3OTfc+eSfyDzhp6zQcdg/uvpp6t1TFBQEEVFRZw+fZr169fTpEkT9uzZQ35+PjExMQwYMIDMzEzWrVvH7t27adSoEefOnSt1jnPnzpGcnExmZiYiwoULF8pdZ8yYMSxZsoTevXsze/Zsnn/+ecdtqMLCQlJTU/nkk094/vnnK72t6ePjw44dOzhz5gzDhg1j8+bN+Pr6OpbCmTVrFlOnTmX9+vU0b96c1atX86c//YlXX32VS5cu0bZt2yrfkxdffJGmTZty9epV+vXrx3fffUdAQIDTOs6ZM4dNmzbRqlWrcvVu0aIFy5cvZ/78+Y71FoudOXOGF154oVz8s2fPLlXPygQHB7N9+3Y8PT3ZvHkzTz/9NO+//36F5bOzs/nd737H9u3bCQwMdLTjF198wZNPPlmufKNGjfjqq684efIkrVu3dmwPCAhg9+7dFV4nNzeXjRs3kpCQUG7fjV5uqDKagJVlwDPfcFNMDCKXbRvwAz5Hh8wppZT7GfuSeZ999hnfffedo1fLarWSlZXF5s2bGT9+PI0aNQKgadOmpY738/PDx8eHCRMmcM899xAXF1dqv9Vq5cKFC/Tu3RuAsWPH8sADDzj2Dxs2DICuXbty7NixSmMdOXIkALt27SIjI4OYGNudlCtXrtCzZ08OHjzIP//5T/r37w/A1atX8ff3xxiDiGsPdL333nskJiZSWFjIqVOnyMjIoFOnTk7rGBMTw7hx4xgxYoSjHq6oKP6y9ayM1Wpl7NixZGVlISIUFBRUec1evXoRaO/8KG7H2NhY0tPTKzyu+P+Pkip7Lz/88ENiYmLK/X9y5coVNmzYwEsvvVRpnDdKjSVgIjII2wylHsByY8zLZfaLff8QIBcYZ4z535qKx1UNr4AY8O3dBdv0Et7AF2jypZSqT6rbU1VTjhw5goeHBy1atMAYw5IlSxg4cGCpMhs3bqz0C9fT05PU1FS2bNlCUlISCQkJbN3q+oNUDRo0AGwPCBQWFlZa1tfXF7AlBf379+fdd98ttX/fvn2EhITw9ddfOz32yJEjBAUFVXj+o0ePMn/+fPbs2cMtt9zCuHHjyMvLq7COy5YtY/fu3Xz88ceEh4dXmsiUVFH8ZetZmWeeeYbY2FiSk5M5duwYffr0AWztUfLBiry8PMc1nbVjVT1gAQEBHD9+3LH9xIkT3HrrrRXGVVEv16effkpERAQtW7assm43Qo1kFSLigW1a+MFAJ2CUiHQqU2wwcIf95zFsM5rWupt+Bm/fHBr3eRFIA6ah00wopZT7ZWdnM3HiRKZMmYKIMHDgQJYuXeroSTl06BA5OTkMGDCAN998k9zcXIBytyAvX76M1WplyJAhLFq0qFwS0qRJE2655RbH+K6VK1c6esOuVY8ePdi5cyfff/89YLvtdejQITp06EB2drYjASsoKGD//v0AzJo1i8mTJ3Px4kUALl68SGJiYqnzXrx4EV9fX5o0acJPP/3Ep59+WmkdDx8+TFRUFHPmzKFZs2alEpVrid+ZhIQEp7fzrFYrrVq1Amzjvoq1adOG9PR0ioqKOH78OKmpqQD07NmTlJQUjh49Cvz/dizuASv789VXXwHQrVs3srKyOHr0KFeuXCEpKYn77rvPaaxWq5WUlBSGDh1abl9F48JqSk31gHUHvjfGHAEQkSRgKFDy2dahwDv2pwR2icjNIuJvjDlVQzG5pKnnJfo9vRjx/An4AIir6hCllFI3yM8//0x4eDgFBQV4enoyevRo/vCHPwAwYcIEjh07RkREBMYYmjdvzrp16xg0aBDp6elERkbi7e3NkCFDmDt3ruOcly5dYujQoeTl5WGMYeHCheWu+/bbbzNx4kRyc3MJCgrirbfeuq56NG/enBUrVjBq1Cjy8/MBeOGFF2jfvj1r165l2rRpWK1WCgsLeeKJJwgJCWHSpElcvnyZbt264eXlhZeXF3/84x9LnddisdClSxdCQkIICgpy3CKsqI7x8fFkZWVhjKFfv35YLBZSUlKuK/6yMjMzHXGUNGPGDMaOHcuCBQvo27evY3tMTAyBgYF07tyZ0NBQIuzzbTZv3pzExESGDRtGUVERLVq04PPPP68yVk9PTxISEhg4cCBXr17lt7/9LSEhIYBtqhGAiRMnApCcnMyAAQPK9eDl5uby+eefl3qwo6aJs3un131SkeHAIGPMBPvr0UCUMWZKiTIfAS8bY3bYX28BnjLGVDjRSWRkpLlR86A4c+DYHvzOj6dlyCE8vT/EdgtSKaXqhwMHDtCxY8faDkP9wsTFxfHBBx/gXWrezPrH2edHRPYaYyKdla+pgU3O7tmVzfRcKYOIPCYiaSKSlp2dfUOCq4jX6Qv8799689n/HY8mX0oppVTVPvroo3qffF2LmroFeQJoXeJ1APDjNZTBGJMIJIKtB+zGhllau+79ade9v9MnKpRSSimlbpSa6gHbA9whIoEi4o1t/Z4NZcpsAMaITQ/AWtvjv4q5+iiwUkoppdS1qJEeMGNMoYhMATZhm4biTWPMfhGZaN+/DPgE2xQU32ObhmJ8TcSilFJKKVXX1Ng8YMaYT7AlWSW3LSvxuwEm19T1lVJKKaXqKp1dVCmllFLKzTQBU0opVWf89NNPPPTQQwQFBdG1a1d69uxJcnJyjV83LS2NadOmXfPxbdq04Te/+Y3j9dq1axk3bhxgm4S0efPmhIeHExISwvDhwx2TxtYFe/fupXPnzrRr145p06Y5fRCtoKCAsWPH0rlzZzp27OhYric3N5d77rmH4OBgQkJCHAuhq6ppAqaUUqpOMMbw61//ml69enHkyBH27t1LUlISJ06cqPFrR0ZGsnjx4us6R1pammNW+7JGjhxJeno6+/fvx9vbm9WrV1/XtW6kSZMmkZiYSFZWFllZWWzcuLFcmTVr1pCfn8++ffvYu3cvb7zxhmNdzOnTp5OZmck333zDzp07HbPzq8ppAqaUUqpO2Lp1K97e3o5ZywFuv/12pk6dCsCxY8e46667iIiIICIiwrEUzbZt20otsD1lyhTH0jczZ86kU6dOhIWFMX36dMCWTISGhmKxWOjVq1e5c6SmphIdHU2XLl2Ijo7m4MGDgK0na9iwYQwaNIg77riDGTNmlIp/+vTppWbgd6awsJCcnBxuueWWSstdS1337NlDdHQ0FouF7t27c+nSpUqvAXDq1CkuXrxIz549ERHGjBnDunXrypUTEXJycigsLOTnn3/G29sbPz8/GjVqRGxsLADe3t5ERES4JWH+T1Bjg/CVUkr9cn353iHOHL98Q8/ZrPVN3DWi/FI2xfbv3+9YlsaZ4qVpfHx8yMrKYtSoUVS2Osq5c+dITk4mMzMTEeHChQsAzJkzh02bNtGqVSvHtpKCg4PZvn07np6ebN68maeffpr3338fgPT0dL755hsaNGhAhw4dmDp1Kq1b26a0HDFiBK+//rpj/cSSVq9ezY4dOzh16hTt27fn3nvvrTDua6nrlStXGDlyJKtXr6Zbt25cvHiRhg0bcvDgQUaOHOn0mG3btnHy5EkCAgIc2wICAjh58mS5ssOHD2f9+vX4+/uTm5vLwoULadq0aakyFy5c4MMPP+Txxx+vtG7KRhMwpZRSddLkyZPZsWMH3t7e7Nmzh4KCAqZMmUJ6ejoeHh4VLg5dzM/PDx8fHyZMmMA999zj6DmKiYlh3LhxjBgxgmHDhpU7zmq1MnbsWLKyshARx+LfAP369aNJkyYAdOrUiR9++MGRgHl4eBAfH89LL73E4MGDS51z5MiRJCQkYIxh8uTJzJs3r9LxUtWt68GDB/H396dbt26OugN06NCh3OLjJTkb7+VsLszU1FQ8PDz48ccfOX/+PHfddRd33303QUFBgK1nb9SoUUybNs2xTVVOEzCllFLlVNZTVVNCQkIcPU0Ar732GmfOnCEy0raU3sKFC2nZsiXffvstRUVF+Pj4ALbFmIuKihzH5eXlObanpqayZcsWkpKSSEhIYOvWrSxbtozdu3fz8ccfEx4eXi5BeeaZZ4iNjSU5OZljx47Rp08fx74GDRo4fvfw8KCwsLDUsaNHj+all15yLAZdlohw7733smTJkkoTsOrW1RjjNHGqqgcsICCg1C3DEydOcOutt5Yr+49//INBgwbh5eVFixYtiImJIS0tzZFsPfbYY9xxxx088cQTFdZJlaZjwJRSStUJffv2JS8vj6VLlzq2lXxa0Gq14u/vz69+9StWrlzJ1atXAds4sYyMDPLz87FarWzZsgWAy5cvY7VaGTJkCIsWLXIkWocPHyYqKoo5c+bQrFkzjh8/XioOq9VKq1atABzjq1zl5eXFk08+yaJFiyoss2PHDtq2bQtAcnIys2bNKlemunUNDg7mxx9/ZM+ePQBcunSJwsJCRw+Ys5+bb74Zf39/GjduzK5duzDG8M477zB06NBy8dx2221s3boVYww5OTns2rWL4OBgAP785z9jtVorrbMqTxMwpZRSdYKIsG7dOlJSUggMDKR79+6MHTuWV155BYDf//73vP322/To0YNDhw7h6+sLQOvWrRkxYgRhYWE8/PDDdOnSBbAlIXFxcYSFhdG7d28WLlwIQHx8PJ07dyY0NJRevXphsVhKxTFjxgxmzZpFTEyMI/GpjkcffbRcz9jq1asJDw8nLCyMb775hmeeeQawJYPFtwtLqm5di5+snDp1KhaLhf79+zt6x6qydOlSJkyYQLt27Wjbtq3j9umGDRuYPXs2YLsdfPnyZUJDQ+nWrRvjx48nLCyMEydO8OKLL5KRkUFERATh4eEsX7682u9ZfSS/pIWnIyMjTWWDEJVSSl27AwcO0LFjx9oOo1555JFHWLhwIc2bN6/tUNR1cvb5EZG9xphIZ+V1DJhSSilVS/7+97/XdgiqlugtSKWUUkopN9METCmllFLKzTQBU0op5fBLGhesVF1xLZ8bTcCUUkoB4OPjw9mzZzUJU6oajDGcPXvWMVebq3QQvlJKKQDHpJzZ2dm1HYpSvyg+Pj6llnRyhSZgSimlANskooGBgbUdhlL1gt6CVEoppZRyM03AlFJKKaXcTBMwpZRSSik3+0UtRSQi2cAPbrhUM+CMG66jXKdtUvdom9RN2i51j7ZJ3eSOdrndGON0nalfVALmLiKSVtHaTap2aJvUPdomdZO2S92jbVI31Xa76C1IpZRSSik30wRMKaWUUsrNNAFzLrG2A1DlaJvUPdomdZO2S92jbVI31Wq76BgwpZRSSik30x4wpZRSSik3q7cJmIgMEpGDIvK9iMx0sl9EZLF9/3ciElEbcdY3LrTLw/b2+E5EvhIRS23EWZ9U1SYlynUTkasiMtyd8dVXrrSLiPQRkXQR2S8iKe6Osb5x4d+vJiLyoYh8a2+T8bURZ30iIm+KyGkR+WcF+2vtu75eJmAi4gG8BgwGOgGjRKRTmWKDgTvsP48BS90aZD3kYrscBXobY8KAv6BjK2qUi21SXO4VYJN7I6yfXGkXEbkZeB24zxgTAjzg7jjrExc/K5OBDGOMBegD/I+IeLs10PpnBTCokv219l1fLxMwoDvwvTHmiDHmCpAEDC1TZijwjrHZBdwsIv7uDrSeqbJdjDFfGWPO21/uAqq3/LyqLlc+KwBTgfeB0+4Mrh5zpV0eAj4wxvwLwBijbVOzXGkTAzQWEQFuAs4Bhe4Ns34xxmzH9j5XpNa+6+trAtYKOF7i9Qn7tuqWUTdWdd/zR4FPazQiVWWbiEgr4H5gmRvjqu9c+ay0B24RkW0isldExrgtuvrJlTZJADoCPwL7gMeNMUXuCU9VoNa+6z3dcZE6SJxsK/s4qCtl1I3l8nsuIrHYErA7azQi5UqbLAKeMsZctf1hr9zAlXbxBLoC/YCGwNcisssYc6img6unXGmTgUA60BdoC3wuIl8aYy7WcGyqYrX2XV9fE7ATQOsSrwOw/UVS3TLqxnLpPReRMGA5MNgYc9ZNsdVXrrRJJJBkT76aAUNEpNAYs84tEdZPrv4bdsYYkwPkiMh2wAJoAlYzXGmT8cDLxjb/0/cichQIBlLdE6Jyota+6+vrLcg9wB0iEmgfAPkgsKFMmQ3AGPsTEj0AqzHmlLsDrWeqbBcRuQ34ABitf8m7RZVtYowJNMa0Mca0AdYCv9fkq8a58m/YeuAuEfEUkUZAFHDAzXHWJ660yb+w9UgiIi2BDsARt0apyqq17/p62QNmjCkUkSnYntjyAN40xuwXkYn2/cuAT4AhwPdALra/XFQNcrFdZgP/B3jd3uNSqIvc1hwX20S5mSvtYow5ICIbge+AImC5Mcbpo/jq+rn4WfkLsEJE9mG79fWUMeZMrQVdD4jIu9ieOG0mIieAZwEvqP3vep0JXymllFLKzerrLUillFJKqVqjCZhSSimllJtpAqaUUkop5WaagCmllFJKuZkmYEoppZRSbqYJmFLKrUSkj4j8YF8iZ5uINLH/94ZMiyMiB0XkCxHZLSLRLh4TLiKP2n//bYntS64xhnEl4lhX2YLLJa+nlKo/NAFTStWGlcaYPvYf6w0+d7YxJhYYhm3euCoZY9KNMX+zv/xtie1TryOOefY40oABlZTTBEypekgTMKVUnSEig0QkRUTSihePFpHJIrLL3psUISINReRdEdkqIqtFxMvZuYwxJ4EG9h62j0Rku4gstp/zfhFJtZ9jiL1X7gUReQzobO+R6ywiO0SkgYh8XiLGLSLiJSJx9nN+JSKDKqnWzSWOfc9ev89ExM/J9Vw9p1LqF04TMKVUbRhtTzreKrN9uzGmN9ADeMy+bSgQa+9N+gaYAGwwxvQFtgHDnV1ARIKBC/bzrDbG9AIaiUgU8BtghP0cnxYfY4xJBPbZe+b22bflA9kicpuItAGOA1eB6dgWVe4DxDsJIV5EMoEIbLOjA4yz1+89YGTJ6wH7XTinUuo/RL1cikgpVetWGmP+7GR7VxEpXiokxL7tWWCpiFwBngE62sv9N+ADvFvmHM1F5AsgH3gSeBzbciNgux3YDngB+LN93NmLLsT7Prak7Vf235vZ49hs399CRMSUXlpkHvAOtvUxm4rIGWCeiHQG/IDkMtdw5ZxKqf8QmoAppeqSGdh6uE4CWfZt6caYcSLyEDAOOAhsMca8D+DkFmTxGDDs+48AXbH1MEUCy4EfjDET7IP0/wCsLnG8s4TnE2CdfV8CUADsAwYaY66KiJezRMkYc0VEXsOWCK4BfI0xvUTkd0CrMtc748o5lVL/GfQWpFKqLkkG1mNLks7bty0Tke3YerI+BBKB++1jsbZiu8VXmUTgQRH5Esg3xuwCnhORFGAJpZMvgOMi8r79FiYAxpif7fFkG2PyjTFFwAJgi723bVEl1/8c6Idtsd929gWyu5e9HtC+GudUSv3C6WLcSimllFJupj1gSimllFJupgmYUkoppZSbaQKmlFJKKeVmmoAppZRSSrmZJmBKKaWUUm6mCZhSSimllJtpAqaUUkop5WaagCmllFJKudn/A2EHpMyIb03lAAAAAElFTkSuQmCC\n","text/plain":"<Figure size 720x720 with 1 Axes>"},"metadata":{"needs_background":"light"},"output_type":"display_data"}]}],"metadata":{"colab":{"collapsed_sections":[],"name":"Titanic_template.ipynb","provenance":[]},"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.6.15","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":4}
\ No newline at end of file

From 5fcc9f3eda76e3aa1391d207eb96fd75fa3d4702 Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Fri, 4 Feb 2022 22:52:30 +0200
Subject: [PATCH 07/14] Create .gitkeep

---
 Aleksei_Zavalnyi_task/task2/.gitkeep | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 Aleksei_Zavalnyi_task/task2/.gitkeep

diff --git a/Aleksei_Zavalnyi_task/task2/.gitkeep b/Aleksei_Zavalnyi_task/task2/.gitkeep
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/Aleksei_Zavalnyi_task/task2/.gitkeep
@@ -0,0 +1 @@
+

From 11a1ade4b26833d2293fceac77cdbafb43ada35a Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Fri, 4 Feb 2022 22:53:00 +0200
Subject: [PATCH 08/14] Delete .gitkeep

---
 Aleksei_Zavalnyi_task/task1/.gitkeep | 1 -
 1 file changed, 1 deletion(-)
 delete mode 100644 Aleksei_Zavalnyi_task/task1/.gitkeep

diff --git a/Aleksei_Zavalnyi_task/task1/.gitkeep b/Aleksei_Zavalnyi_task/task1/.gitkeep
deleted file mode 100644
index 8b13789..0000000
--- a/Aleksei_Zavalnyi_task/task1/.gitkeep
+++ /dev/null
@@ -1 +0,0 @@
-

From e003052ff66f7af2064050b319712148620b2df7 Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Fri, 4 Feb 2022 22:54:34 +0200
Subject: [PATCH 09/14] task 2 uploaded

---
 .../task2/FashionMnist.ipynb                  | 860 ++++++++++++++++++
 1 file changed, 860 insertions(+)
 create mode 100644 Aleksei_Zavalnyi_task/task2/FashionMnist.ipynb

diff --git a/Aleksei_Zavalnyi_task/task2/FashionMnist.ipynb b/Aleksei_Zavalnyi_task/task2/FashionMnist.ipynb
new file mode 100644
index 0000000..07cbe35
--- /dev/null
+++ b/Aleksei_Zavalnyi_task/task2/FashionMnist.ipynb
@@ -0,0 +1,860 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "af4b9b8a",
+   "metadata": {},
+   "source": [
+    "# Train NN model on the FashionMNIST data\n",
+    "\n",
+    "https://www.kaggle.com/zalando-research/fashionmnist\n",
+    "\n",
+    "Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.\n",
+    "\n",
+    "You may refer to this tutorial about the original Mnist:\n",
+    "https://towardsdatascience.com/handwritten-digit-mnist-pytorch-977b5338e627\n",
+    "\n",
+    "Or any other tutorial you may find online:\n",
+    "https://www.kaggle.com/zalando-research/fashionmnist/code"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a60fad90",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torch import nn\n",
+    "from torch.utils.data import DataLoader\n",
+    "from torchvision import datasets\n",
+    "from torchvision.transforms import ToTensor, Lambda, Compose\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "33c19eee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "training_data = datasets.FashionMNIST(\n",
+    "    root=\"data\",\n",
+    "    train=True,\n",
+    "    download=True,\n",
+    "    transform=ToTensor()\n",
+    ")\n",
+    "\n",
+    "test_data = datasets.FashionMNIST(\n",
+    "    root=\"data\",\n",
+    "    train=False,\n",
+    "    download=True,\n",
+    "    transform=ToTensor()\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "840e5fdd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dataset FashionMNIST\n",
+       "    Number of datapoints: 60000\n",
+       "    Root location: data\n",
+       "    Split: Train\n",
+       "    StandardTransform\n",
+       "Transform: ToTensor()"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "training_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3a585586",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dataset FashionMNIST\n",
+       "    Number of datapoints: 10000\n",
+       "    Root location: data\n",
+       "    Split: Test\n",
+       "    StandardTransform\n",
+       "Transform: ToTensor()"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "605d1835",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x576 with 18 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Lest read a random image from the dataset and draw it\n",
+    "from random import randrange\n",
+    "fig  = plt.figure(figsize=(16, 8))\n",
+    "for i in range(3):\n",
+    "    for j in range(6):\n",
+    "        plt.subplot2grid((3, 6), (i, j))\n",
+    "        image, label = training_data[randrange(1000)]\n",
+    "        plt.imshow(image[0], 'gray')\n",
+    "        plt.axis('off')\n",
+    "        plt.title(f'Image of class: {training_data.classes[label]}', fontsize=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "f490ddd3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "torch.Size([1, 28, 28])"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Lets check image shape\n",
+    "image.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "16f15225",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['T-shirt/top',\n",
+       " 'Trouser',\n",
+       " 'Pullover',\n",
+       " 'Dress',\n",
+       " 'Coat',\n",
+       " 'Sandal',\n",
+       " 'Shirt',\n",
+       " 'Sneaker',\n",
+       " 'Bag',\n",
+       " 'Ankle boot']"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Lets see all the classes available\n",
+    "training_data.classes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf2a7f78",
+   "metadata": {},
+   "source": [
+    "# Task 1:\n",
+    "\n",
+    "Create a DataLoader objects for train and test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "97c9881c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'torch.Tensor'> <class 'torch.Tensor'>\n",
+      "torch.Size([28, 28])\n",
+      "torch.Size([])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Label: 4\n"
+     ]
+    }
+   ],
+   "source": [
+    "train_dataloader = DataLoader(training_data, batch_size=64, shuffle=True)\n",
+    "test_dataloader = DataLoader(test_data, batch_size=64, shuffle=True)\n",
+    "\n",
+    "#dir(train_dataloader)\n",
+    "train_features, train_labels = next(iter(train_dataloader))\n",
+    "print(type(train_features), type(train_labels))\n",
+    "img = train_features[0].squeeze()\n",
+    "label = train_labels[0]\n",
+    "print(img.shape)\n",
+    "print(label.shape)\n",
+    "plt.imshow(img, cmap='gray')\n",
+    "plt.show()\n",
+    "print(f'Label: {label}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0695343f",
+   "metadata": {},
+   "source": [
+    "# Task 2:\n",
+    "\n",
+    "Create a Neural Network"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "f9b3d73d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using cpu device\n",
+      "NeuralNetwork(\n",
+      "  (flatten): Flatten(start_dim=1, end_dim=-1)\n",
+      "  (model): Sequential(\n",
+      "    (0): Linear(in_features=784, out_features=512, bias=True)\n",
+      "    (1): ReLU()\n",
+      "    (2): Linear(in_features=512, out_features=256, bias=True)\n",
+      "    (3): ReLU()\n",
+      "    (4): Linear(in_features=256, out_features=128, bias=True)\n",
+      "    (5): ReLU()\n",
+      "    (6): Linear(in_features=128, out_features=32, bias=True)\n",
+      "    (7): ReLU()\n",
+      "    (8): Linear(in_features=32, out_features=10, bias=True)\n",
+      "    (9): LogSoftmax(dim=1)\n",
+      "  )\n",
+      ")\n"
+     ]
+    }
+   ],
+   "source": [
+    "device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')\n",
+    "#device = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
+    "print(f'Using {device} device')\n",
+    "\n",
+    "class NeuralNetwork(nn.Module):\n",
+    "    def __init__(self):\n",
+    "        super(NeuralNetwork, self).__init__()\n",
+    "        self.flatten = nn.Flatten()\n",
+    "        self.model = nn.Sequential(\n",
+    "            nn.Linear(28*28, 512),\n",
+    "            nn.ReLU(),\n",
+    "            nn.Linear(512, 256),\n",
+    "            nn.ReLU(),\n",
+    "            nn.Linear(256, 128),\n",
+    "            nn.ReLU(),\n",
+    "            nn.Linear(128, 32),\n",
+    "            nn.ReLU(),\n",
+    "            nn.Linear(32, 10),\n",
+    "            nn.LogSoftmax(dim=1)\n",
+    "        )\n",
+    "\n",
+    "    def forward(self, tensor):\n",
+    "        tensor = self.flatten(tensor)\n",
+    "        out = self.model(tensor)\n",
+    "        return out\n",
+    "    \n",
+    "model = NeuralNetwork().to(device)\n",
+    "print(model)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e13d5117",
+   "metadata": {},
+   "source": [
+    "# Task 3:\n",
+    "\n",
+    "Specify loss and optimizer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "8cd11bf9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch.optim as optim\n",
+    "criterion = nn.NLLLoss()\n",
+    "optimizer = optim.Adam(model.parameters(), lr=0.003)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "605caa5b",
+   "metadata": {},
+   "source": [
+    "# Task 3:\n",
+    "\n",
+    "Train model using for loop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "a724b721",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1\n",
+      "------------------------------------------\n",
+      "loss: 2.292431, progress:  [0.00% / 100%]\n",
+      "loss: 0.539577, progress:  [10.67% / 100%]\n",
+      "loss: 0.375959, progress:  [21.33% / 100%]\n",
+      "loss: 0.707446, progress:  [32.00% / 100%]\n",
+      "loss: 0.530716, progress:  [42.67% / 100%]\n",
+      "loss: 0.431049, progress:  [53.33% / 100%]\n",
+      "loss: 0.432658, progress:  [64.00% / 100%]\n",
+      "loss: 0.316002, progress:  [74.67% / 100%]\n",
+      "loss: 0.469867, progress:  [85.33% / 100%]\n",
+      "loss: 0.400081, progress:  [96.00% / 100%]\n",
+      "Accuracy: 84.0%\n",
+      "\n",
+      "Epoch 2\n",
+      "------------------------------------------\n",
+      "loss: 0.168718, progress:  [0.00% / 100%]\n",
+      "loss: 0.402629, progress:  [10.67% / 100%]\n",
+      "loss: 0.301640, progress:  [21.33% / 100%]\n",
+      "loss: 0.328552, progress:  [32.00% / 100%]\n",
+      "loss: 0.226271, progress:  [42.67% / 100%]\n",
+      "loss: 0.481627, progress:  [53.33% / 100%]\n",
+      "loss: 0.277001, progress:  [64.00% / 100%]\n",
+      "loss: 0.580721, progress:  [74.67% / 100%]\n",
+      "loss: 0.359552, progress:  [85.33% / 100%]\n",
+      "loss: 0.345140, progress:  [96.00% / 100%]\n",
+      "Accuracy: 85.5%\n",
+      "\n",
+      "Epoch 3\n",
+      "------------------------------------------\n",
+      "loss: 0.447011, progress:  [0.00% / 100%]\n",
+      "loss: 0.266429, progress:  [10.67% / 100%]\n",
+      "loss: 0.286873, progress:  [21.33% / 100%]\n",
+      "loss: 0.356403, progress:  [32.00% / 100%]\n",
+      "loss: 0.358479, progress:  [42.67% / 100%]\n",
+      "loss: 0.564988, progress:  [53.33% / 100%]\n",
+      "loss: 0.304144, progress:  [64.00% / 100%]\n",
+      "loss: 0.558882, progress:  [74.67% / 100%]\n",
+      "loss: 0.257590, progress:  [85.33% / 100%]\n",
+      "loss: 0.342820, progress:  [96.00% / 100%]\n",
+      "Accuracy: 85.8%\n",
+      "\n",
+      "Epoch 4\n",
+      "------------------------------------------\n",
+      "loss: 0.452109, progress:  [0.00% / 100%]\n",
+      "loss: 0.200940, progress:  [10.67% / 100%]\n",
+      "loss: 0.463059, progress:  [21.33% / 100%]\n",
+      "loss: 0.391934, progress:  [32.00% / 100%]\n",
+      "loss: 0.229194, progress:  [42.67% / 100%]\n",
+      "loss: 0.197221, progress:  [53.33% / 100%]\n",
+      "loss: 0.273968, progress:  [64.00% / 100%]\n",
+      "loss: 0.454700, progress:  [74.67% / 100%]\n",
+      "loss: 0.248709, progress:  [85.33% / 100%]\n",
+      "loss: 0.389503, progress:  [96.00% / 100%]\n",
+      "Accuracy: 87.0%\n",
+      "\n",
+      "Epoch 5\n",
+      "------------------------------------------\n",
+      "loss: 0.216770, progress:  [0.00% / 100%]\n",
+      "loss: 0.286094, progress:  [10.67% / 100%]\n",
+      "loss: 0.373666, progress:  [21.33% / 100%]\n",
+      "loss: 0.222934, progress:  [32.00% / 100%]\n",
+      "loss: 0.331675, progress:  [42.67% / 100%]\n",
+      "loss: 0.326440, progress:  [53.33% / 100%]\n",
+      "loss: 0.298976, progress:  [64.00% / 100%]\n",
+      "loss: 0.347177, progress:  [74.67% / 100%]\n",
+      "loss: 0.376073, progress:  [85.33% / 100%]\n",
+      "loss: 0.303218, progress:  [96.00% / 100%]\n",
+      "Accuracy: 85.7%\n",
+      "\n",
+      "Epoch 6\n",
+      "------------------------------------------\n",
+      "loss: 0.389709, progress:  [0.00% / 100%]\n",
+      "loss: 0.238555, progress:  [10.67% / 100%]\n",
+      "loss: 0.257693, progress:  [21.33% / 100%]\n",
+      "loss: 0.321651, progress:  [32.00% / 100%]\n",
+      "loss: 0.594005, progress:  [42.67% / 100%]\n",
+      "loss: 0.177445, progress:  [53.33% / 100%]\n",
+      "loss: 0.327200, progress:  [64.00% / 100%]\n",
+      "loss: 0.240006, progress:  [74.67% / 100%]\n",
+      "loss: 0.279530, progress:  [85.33% / 100%]\n",
+      "loss: 0.129728, progress:  [96.00% / 100%]\n",
+      "Accuracy: 87.0%\n",
+      "\n",
+      "Epoch 7\n",
+      "------------------------------------------\n",
+      "loss: 0.310305, progress:  [0.00% / 100%]\n",
+      "loss: 0.310868, progress:  [10.67% / 100%]\n",
+      "loss: 0.242906, progress:  [21.33% / 100%]\n",
+      "loss: 0.218805, progress:  [32.00% / 100%]\n",
+      "loss: 0.247301, progress:  [42.67% / 100%]\n",
+      "loss: 0.298413, progress:  [53.33% / 100%]\n",
+      "loss: 0.212253, progress:  [64.00% / 100%]\n",
+      "loss: 0.311394, progress:  [74.67% / 100%]\n",
+      "loss: 0.351941, progress:  [85.33% / 100%]\n",
+      "loss: 0.335909, progress:  [96.00% / 100%]\n",
+      "Accuracy: 87.2%\n",
+      "\n",
+      "Epoch 8\n",
+      "------------------------------------------\n",
+      "loss: 0.312194, progress:  [0.00% / 100%]\n",
+      "loss: 0.260893, progress:  [10.67% / 100%]\n",
+      "loss: 0.169448, progress:  [21.33% / 100%]\n",
+      "loss: 0.259366, progress:  [32.00% / 100%]\n",
+      "loss: 0.443664, progress:  [42.67% / 100%]\n",
+      "loss: 0.245052, progress:  [53.33% / 100%]\n",
+      "loss: 0.171976, progress:  [64.00% / 100%]\n",
+      "loss: 0.304680, progress:  [74.67% / 100%]\n",
+      "loss: 0.170665, progress:  [85.33% / 100%]\n",
+      "loss: 0.166504, progress:  [96.00% / 100%]\n",
+      "Accuracy: 87.6%\n",
+      "\n",
+      "Epoch 9\n",
+      "------------------------------------------\n",
+      "loss: 0.284701, progress:  [0.00% / 100%]\n",
+      "loss: 0.259229, progress:  [10.67% / 100%]\n",
+      "loss: 0.141454, progress:  [21.33% / 100%]\n",
+      "loss: 0.153094, progress:  [32.00% / 100%]\n",
+      "loss: 0.166297, progress:  [42.67% / 100%]\n",
+      "loss: 0.281865, progress:  [53.33% / 100%]\n",
+      "loss: 0.260076, progress:  [64.00% / 100%]\n",
+      "loss: 0.685072, progress:  [74.67% / 100%]\n",
+      "loss: 0.222991, progress:  [85.33% / 100%]\n",
+      "loss: 0.226869, progress:  [96.00% / 100%]\n",
+      "Accuracy: 88.3%\n",
+      "\n",
+      "Epoch 10\n",
+      "------------------------------------------\n",
+      "loss: 0.191704, progress:  [0.00% / 100%]\n",
+      "loss: 0.263205, progress:  [10.67% / 100%]\n",
+      "loss: 0.227399, progress:  [21.33% / 100%]\n",
+      "loss: 0.367127, progress:  [32.00% / 100%]\n",
+      "loss: 0.192488, progress:  [42.67% / 100%]\n",
+      "loss: 0.264128, progress:  [53.33% / 100%]\n",
+      "loss: 0.348139, progress:  [64.00% / 100%]\n",
+      "loss: 0.164411, progress:  [74.67% / 100%]\n",
+      "loss: 0.281759, progress:  [85.33% / 100%]\n",
+      "loss: 0.244395, progress:  [96.00% / 100%]\n",
+      "Accuracy: 88.4%\n",
+      "\n",
+      "Finished!\n"
+     ]
+    }
+   ],
+   "source": [
+    "def train_loop(dataloader, model, criterion, optimizer):\n",
+    "    size = len(dataloader.dataset)\n",
+    "    for batch, (X, y) in enumerate(dataloader):\n",
+    "        X, y = X.to(device), y.to(device)\n",
+    "        pred = model(X)\n",
+    "        loss = criterion(pred, y)\n",
+    "\n",
+    "        optimizer.zero_grad()\n",
+    "        loss.backward()\n",
+    "        optimizer.step()\n",
+    "\n",
+    "        if batch % 100 == 0:\n",
+    "            loss, current = loss.item(), batch * len(X)\n",
+    "            print(f'loss: {loss:>7f}, progress:  [{100 * (current/size):>0.2f}% / 100%]')\n",
+    "\n",
+    "\n",
+    "def test_model(dataloader, model, criterion):\n",
+    "    size = len(dataloader.dataset)\n",
+    "    num_batches = len(dataloader)\n",
+    "    test_loss, correct = 0, 0\n",
+    "    \n",
+    "    with torch.no_grad():\n",
+    "        for X, y in dataloader:\n",
+    "            X, y = X.to(device), y.to(device)\n",
+    "            pred = model(X)\n",
+    "            test_loss += criterion(pred, y).item()\n",
+    "            correct += (pred.argmax(1) == y).type(torch.float).sum().item()\n",
+    "\n",
+    "    test_loss /= num_batches\n",
+    "    correct /= size\n",
+    "    print(f'Accuracy: {(100 * correct):>0.1f}%\\n')\n",
+    "    \n",
+    "epochs = 10\n",
+    "for e in range(epochs):\n",
+    "    print(f'Epoch {e+1}\\n------------------------------------------')\n",
+    "    train_loop(train_dataloader, model, criterion, optimizer)\n",
+    "    test_model(test_dataloader, model, criterion)\n",
+    "    \n",
+    "print('Finished!')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc682a23",
+   "metadata": {},
+   "source": [
+    "# Task 4:\n",
+    "\n",
+    "Report accuracy from train set, and test set independently"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "d129cd18",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test accuracy: 0.884%\n"
+     ]
+    }
+   ],
+   "source": [
+    "predictions = torch.Tensor([]).to(device)\n",
+    "labels = torch.Tensor([]).to(device)\n",
+    "\n",
+    "with torch.no_grad():\n",
+    "    for X, y in test_dataloader:\n",
+    "        X, y = X.to(device), y.to(device)\n",
+    "        preds = model.forward(X)\n",
+    "        predictions = torch.cat((predictions, preds), 0)\n",
+    "        labels = torch.cat((labels, y), 0)\n",
+    "        \n",
+    "_, preds = torch.max(predictions, dim=1)\n",
+    "pred_labels = (preds == labels).float().sum()\n",
+    "accuracy =  pred_labels / len(labels)\n",
+    "print(f'Test accuracy: {accuracy:>0.3}%')  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "2055ff13",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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OHjy4MD5ixIjC+LPPPlsYTy0NBxgwYEDyWJHUsvRay+j333//wvicOXM6dG0z61o8gzLbREW1njbyPCdLOr7G8bfUjzLrzjyDMtt07ar1ZGYd4xmU2aZbCewtaYvIvCzpinxGNUvSWABJD0j6iaS/SPpKHhubt/kDcGAe6yXp9rz/HZLS93fNujEnKLNN9ytgLlmtp9mSdgKmRsQk4HvASXm74cB3gH2Bo/PYvwHnRMRh5LubR8R64Mi8/03Ax2tdXNJUSa2SWlNbZZl1Rb7FZ7aJImIdcB5wXl5Y8BzgRUkTgP7Af+dNX4qIpwEktZVIHk9WMRfgvvzYYOBn+cxrOPDbDVz/EuASgJaWlg3WjzLrKnp0gkqVH0/ViEtt8ApwxRVXFMaff/75wnivXsWT10GDBhXGUyvyIF1ePSX1V3YqPnr06OS5+vXrVxhPrfzraHuAQw89tDD+gx+Uo/K5pO2BRRGxhqzW02igd0QcIOmDwIfzpkW/WPOAdwJ3ku1ufhcwGVgYEcdK+ldgZL2fg1kZ9egEZdZJdgeukbQ6f3wacLGkO4BHN9D3e8BVkr4EvJzH7gX+Q9ItwCLgmc4fsln5OUGZbaJEracDCtoV1X+aDxR90GuPWv3NegIvkjAzs1JygjIzs1JygjIzs1Lq0e9BpVbrpVx66aXJYytXriyMv/DCC4Xx1N56w4cPL4yvW7cuee3UPnZ9+/YtjC9atKhDY0qtLARYtmxZYTy1QjJ1jdWrVxfGAfbbb78Oj8vMuj7PoMzMrJScoMzMrJScoMzMrJScoMzMrJScoMwaRNIB+Q7lMyXdJWm3dvYbLulj9R6fWdl0m1V8qVVj0PHVeqeffnphfO+99072eeihhwrjqYqzqb3nUqvZaj2/gQMHFsZTq/VSq/5GjRpVGE+tRARYsmRJYTxV5XeLLbYojKf2JgRYv359YXyXXXZJ9ikbSaOAHwPvjYjn8sdbt7P7cOBjwLV1Gp5ZKXkGZdYYhwO/i4jnACJiCTA/r8Q7Q9K1kvpJ2kLSnfks6zpJvYFTgIn57GvnZj4Js0ZygjJrjK2AhVWxqcAtETGRrCTHFOAlYHJEHAjMBw4GfgLMiIhJETG3+sSuB2XdlROUWWMsBLapir0NuD//+S9ktaFGAtdJmgEcQTtuA0bEJRHREhEtY8aM6cQhmzWXE5RZY9wCHCVpSwBJI8nKaOyVH38X8DhwDHB7Pqu6GRCwFih+49CsG3OCMmuAiFgKfJasbtQM4Bqycu5HSJoJ7Ar8mqxg4SmSbgS2zLsvAgbm70nt2PjRmzXHRq3iS624qrUSK3UstcdcatVaqnpsR1fqAXz84x8vjJ9wwgmF8aeeeip5rv79+xfGU/vhpSrLpirnplayAbz44ouF8dRqvVSF3NRrnlrdB+nxrl27tjCeeh6p9gCPPfZYYTy1b2FZRcTdwMSq8BFVjx8kK4BYbXI9xmRWZp5BmZlZKTlBmZlZKTlBmZlZKTlBmZlZKTlBmZlZKTlBmZlZKW3UMvPUUuFaS6Gb6dRTTy2MH3vssYXxl156qTCe2uAV0uXHU0u6U5upppZb19osdvPNNy+Mp5b2Dxs2rDC+fPnywnitcuypZfSp57Fq1arCeGpJPMCQIUMK4xvz0QIz6zq6zW7mZmUiaRzZNkZ/I9sNYiZwbkSkP/BlZm/iW3xm9TMjIg4m2/C1F3B62wFJ/m/PbAM8gzKrs4gISecCd0maAswGhkn6PPBzYDOyzWSPA/YGfgCsAmYA5wK/A4aSzcTeFxHpe65m3YgTlFkDRMRrkvoDI4CLImKepO8D/xkR0yR9ETgKeAdwTkTcnM+ydgBWR8QRkhQFb7xJmkpWuoOxY8c27DmZ1ZtvM5g1gKR+wBrgpYiYl4d3Ac6WNJ2sYu6WwI+A90q6nKwu1BPADEmXAefmBQzfxOU2rLvq1BnUyJEjk8e22mqrwnjqL77UCrTx48cXxg888MDktTfbbLPC+KOPPloYT61yq7VpamolXUdXoKXiqU1yIb3K7uWXXy6MP/744x26Rq3nPXTo0ML4tttuWxhfuLC6Zl8m9foBzJo1qzB+1113JfuU0FeBG8kSUZvHgOvzTWSR1BfoExGn5QltjqS7gB9FxHpJlwD7kS24MOv2PIMyq5+JkqblM6Q+wEVVx78FfD5vM43s9t5JefmNe4DLgO3JZlB/BrYDHmjQ2M2azu9BmdVBRDwFFN1va6loswT4cNXxVt6ayA7ozLGZdRWeQZmZWSk5QZmZWSk5QZmZWSnVfA8qtZLu+uuvL4wvW7Ysea7U8tdUOe+tt966MJ5a9bdixYrktVOr3FJjSu2rl1rdB+nVegMHDiyMp16rJUuWFMZfeeWV5LVT+/SlVk5ut912hfFUCfU5c+Ykr33//fcXxhcsWFAYv/vuuwvjs2fPTl6jVjl4M+u+PIMyM7NScoIyM7NScoIyM7NScoIyM7NScoIy6wBJ4yQtljRd0p8lFe69Jak1/36ZpN0aO0qz7qHmKr6TTjqpML7HHnsUxp988snkudasWVMYT61+W7duXWE8tbKwX79+yWunjg0YMKAwnlrFl9rTD9IVYZ9//vnCeGpVXmql4Pbbb5+89tKlSwvjd9xxR2E8tWLutttuK4ynKgw3Skf39WuAGRHxUUkfAf4dOLFRF5bUKyLKWbrarJN5BmW28R4BjpV0KoCkyZLOKmooqY+kqyTNkPQHSSMlfVnSx/LjO0u6XJkfSvqTpDskbZsffzTf4fz8Bj03s6ZzgjLbeAcAr7Wz7VHA/IiYCFwDfC7/3ra7+cfzx4eTleQ4CDgj/wLYFjgtIr5YfWJJUyW1SmpdvHjxRj8Zs7JxgjLruIn5DuWHAadVxIs/MZ15G9D2qea/AOMjYj4wQtIQ4BDgdrIaUUfl578AGJ73mRcRhfdaXQ/KuisnKLOOmxERkyLiw8BLZGUwAPas0WcesFf+87uAtqJcvwe+AsyNiLVkNaKuzc8/ETghb+f3nazHcYIy2zR3AvtKug3YuUa7G4Cxea2no4GL8/hvgC8Dv84f3wSMyt+D+hPwqbqM2qwLUKqCK8CECRMKD373u98tbJ/aPw/S+8X16VO8kHDlypWF8dTqvtR5al27f//+hfHUnnS19oRL7QWYGu9OO+1UGJ85s7hY6nnnnZe8dqpPZ0mtaoT0v/n69cV/8Kf2RUzFIf3vtGjRosJ4RNS61dattbS0RGtra7OHYdYhkuZEREt13DMoMzMrJScoMzMrJScoMzMrJScoMzMrJScoMzMrJScoMzMrpZqbxT700EOF8cMOO6wwPmXKlOS5Jk+eXBjfZ599CuOpZdipJeO1loDXWibdkXOlNoSFdKn2++67rzB+3HHHFcYffPDB2oPrBKnXMPWRg9SSf4B58+Z1yphqGTx4cN2vYWbl4xmUmZmVUs0ZlJkVk9SPbO88yLY4mpP/fERELG/OqMy6Fycos40QEWuASZAVJ4yISW3H6lmzyfWgrCfxLT6zTiDpLEm/lHQrsKukCyXNyivv7pC3aa1of2/+/VxJ90iaKWkf14Mye4NnUGadZ35EHCdpL2CriNhf0kTgTN7Ylbza+4F9I2KdpF5U1IOStCdZPahTyepB7VdUckPSVGAqwNixYzv/WZk1yUYlqNRGoFdeeWWyT61jRd7+9rcXxvfaa6/C+Pjx45PnGjp0aGE8VXZ92bJlhfGHH344eY1Zs2YVxl97rb317GqrtRluakPalFobBBf51re+lTyW2sh1xIgRhfHUWHv1Sk/mBwwYUBg/8cSGVVpvr7Z6T9W1n84taNu2lPJrwM8krQO+wRv1oA7M2yzI29WsBwVcAtlmsZv6JMzKwjMos87T9pfbPOBD+c+VtZ8GSOpNNhsancdmRsQfJX2CbBb0IFk9qG8CSOpbdW6zHsMJyqyTRUSrpEWSZgHreOP23pXAPcADwNI8doOkgUB/4J+BR4CD81pQAFcAlzZs8GYl4gRltomK6thExOcLYt8Gvl0Ve3/BKU9vzzXMujuv4jMzs1JygjIzs1KqWfJdklcEWZfjku8u+W5di0u+m5lZl+IEZWZmpeQEZWZmpeQEZWZmpeQEZWZmpeQEZZaT1C/ffXy6pFcrfh6SaH+ZpN2qYhMknVLQdoKkvSseS9Lvq+Nm9gbvJGGWq1XjqQPneJBsP73/L9+lfAIwBLgvD0/I21XHzSznBGXWDpJGAr/LHy6LiA/mP5+W13taQbZB7ESyqrpfkvQAMBsYBvwDMFLS4RFxKDAZuA24sDIu6UJgL/I9/CLi75IeJavYuxtwdkTc0ICnbNZ0TlBm7fNOoDVPPJW3xu+OiBMlXQnsXtVnBHBRRMyTdDwwJCIuzo/tDXwP+ElbvEYdqbHA/sBaYDpwQ+VFXA/Kuiu/B2WWIOng/D2oy4EZwCuSfgl8oaLZX/PvC8gSUqWXImJewXmHAssj4vWqQ9V1pNqKnP09IpZGxKvAa5Le9IdlRFwSES0R0TJmzJiOPk2z0vIMyiwhIqYB0wAkDayo0XS7pGvbmlV0qd5iqbKG01qgd/7zIcBdBfFUHalxkobnbftHRMcqVJp1UU5QZu2zl6TzyJLJ34FnOtj/HuBySS1k71edXR2PiE8m6kgtAH4MvB04ZxOfh1mX4c1irdsp+2axko6OiF93oH1re+tBebNY64q8WaxZSXQkOZn1ZE5QZiXnarrWUzlBmZlZKTlBmZlZKTlBmZlZKTlBmZlZKTlBmZlZKTlBmZlZKTlBmZlZKXknCet2yr6TRD1JehWY2+xxJIwGXmz2IGoo8/jKPDbY9PFtHxFv2enYe/GZdS9zy/rB3o5s2dQMZR5fmccG9RtfzQTVk/8SNTOz5vJ7UGZmVkpOUGbdyyXNHkANZR4blHt8ZR4b1Gl8NRdJmJmZNYtnUGZmVkpOUGZdgKTJkuZKmifpjILjkvSf+fGHJe3R3r4NGt8x+bgeljRb0jsqjj0l6W+SHpTU6dUW2zG2SZJeya//oKQz29u3QeP7csXYHpH0uqSR+bF6v3a/kPSCpEcSx+v7excR/vKXv0r8RVZm/glgR6Af8BCwS1Wbw4BbAQH7AH9pb98Gje/dwIj850Pbxpc/fgoY3cTXbhJw88b0bcT4qtp/AJjWiNcuP/+BwB7AI4njdf298wzKrPz2BuZFxJMRsQb4NXBkVZsjgcsjcy8wXNJW7exb9/FFxOyIeCl/eC+wbSePYaPHVqe+9RrfFODqTh5DUkTMBJbWaFLX3zsnKLPy2wZYUPH4mTzWnjbt6duI8VX6DNlf3W0CuF3SHElTmzS2fSU9JOlWSbt2sG8jxoekQcBk4LcV4Xq+du1R19877yRhVn5FH5ivXn6batOevpuq3deQdBBZgtq/IrxfRCyUtDlwh6TH8r/cGzW2B8i22lku6TDgBmCndvbdVB25xgeAP0dE5Yymnq9de9T1984zKLPyewbYruLxtsDCdrZpT99GjA9J/wT8HDgyIpa0xSNiYf79BeB6sttDDRtbRCyLiOX5z38A+koa3Z6+jRhfhaOpur1X59euPer7e1evN9f85S9/dc4X2Z2OJ4EdeOMN512r2hzOm9+svq+9fRs0vrHAPODdVfHBwNCKn2cDkxs8ti154zOhewPz89exFK9d3m4Y2XtBgxv12lVcZxzpRRJ1/b3zLT6zkouIdZJOBf5ItjrqFxHx35JOzo//FPgD2YqqecBK4IRafZswvjOBUcCPJQGsi2xz0S2A6/NYH+CqiLitwWP7KHCKpHXAKuDoyP4vW5bXDuAo4PaIWFHRva6vHYCkq8lWOY6W9AzwDaBvxdjq+nvnnSTMzKyU/B6UmZmVkhOUmZmVkhOUmZmVkhOUmZmVkhOUmZmVkhOUmZmVkhOUmZmVkhOUmZmV0v8Co54Q9Oo6bFcAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def view_classify(img, ps):\n",
+    "    ps = ps.data.numpy().squeeze()\n",
+    "\n",
+    "    fig, (ax1, ax2) = plt.subplots(figsize=(6,9), ncols=2)\n",
+    "    ax1.imshow(img[0], 'gray')\n",
+    "    ax1.axis('off')\n",
+    "    ax2.barh(np.arange(10), ps)\n",
+    "    ax2.set_aspect(0.1)\n",
+    "    ax2.set_yticks(np.arange(10))\n",
+    "    ax2.set_yticklabels(['T-shirt/top',\n",
+    "                        'Trouser',\n",
+    "                        'Pullover',\n",
+    "                        'Dress',\n",
+    "                        'Coat',\n",
+    "                        'Sandal',\n",
+    "                        'Shirt',\n",
+    "                        'Sneaker',\n",
+    "                        'Bag',\n",
+    "                        'Ankle Boot'], size='small');\n",
+    "    ax2.set_title('Class Probability')\n",
+    "    ax2.set_xlim(0, 1.1)\n",
+    "\n",
+    "    plt.tight_layout()\n",
+    "\n",
+    "dataiter = iter(test_dataloader)\n",
+    "for _ in range(10):\n",
+    "    images, labels = dataiter.next()\n",
+    "    img = images[0]\n",
+    "    img = img.resize_(1, 784)\n",
+    "\n",
+    "    with torch.no_grad():\n",
+    "        logps = model(img)\n",
+    "    ps = torch.exp(logps)\n",
+    "    view_classify(img.resize_(1, 28, 28), ps)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0bfcc3eb",
+   "metadata": {},
+   "source": [
+    "# Task 5:\n",
+    "\n",
+    "Report confussion matrix for the test set\n",
+    "\n",
+    "Expected format:\n",
+    "```\n",
+    "array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+    "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+    "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+    "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+    "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+    "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+    "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+    "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+    "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
+    "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "e3d7bc1e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Confusion matrix \n",
+      " [[910   0  15  15   3   0  41   0  16   0]\n",
+      " [  1 957   2  33   4   0   2   0   1   0]\n",
+      " [ 22   0 778  11 112   0  71   0   6   0]\n",
+      " [ 33   3   7 884  51   0  16   0   6   0]\n",
+      " [  0   0  91  19 847   0  39   0   4   0]\n",
+      " [  0   0   0   0   0 975   0  17   0   8]\n",
+      " [204   0  77  32  82   0 585   0  20   0]\n",
+      " [  0   0   0   0   0  18   0 963   0  19]\n",
+      " [  2   0   2   4   2   2   1   3 984   0]\n",
+      " [  0   0   0   0   0  12   1  34   0 953]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import confusion_matrix\n",
+    "conf_matrix = confusion_matrix(labels, preds)\n",
+    "print('Confusion matrix \\n', conf_matrix)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba2a7f90",
+   "metadata": {},
+   "source": [
+    "# Task 6 (optional):\n",
+    "\n",
+    "Train LogisticRegression and DecisionTree models on the same data\n",
+    "Compare their performance to the NN"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f009b458",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 00b92a5d7e5dba1c2672836bc1f83ad20272f3cd Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Thu, 10 Feb 2022 20:48:03 +0200
Subject: [PATCH 10/14] Delete .gitkeep

---
 Aleksei_Zavalnyi_task/task2/.gitkeep | 1 -
 1 file changed, 1 deletion(-)
 delete mode 100644 Aleksei_Zavalnyi_task/task2/.gitkeep

diff --git a/Aleksei_Zavalnyi_task/task2/.gitkeep b/Aleksei_Zavalnyi_task/task2/.gitkeep
deleted file mode 100644
index 8b13789..0000000
--- a/Aleksei_Zavalnyi_task/task2/.gitkeep
+++ /dev/null
@@ -1 +0,0 @@
-

From 8915a52ad67c3a2330dd79edb6cd24e788d89f01 Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Thu, 10 Feb 2022 20:49:33 +0200
Subject: [PATCH 11/14] Create .gitkeep

---
 Aleksei_Zavalnyi_task/task3/.gitkeep | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 Aleksei_Zavalnyi_task/task3/.gitkeep

diff --git a/Aleksei_Zavalnyi_task/task3/.gitkeep b/Aleksei_Zavalnyi_task/task3/.gitkeep
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/Aleksei_Zavalnyi_task/task3/.gitkeep
@@ -0,0 +1 @@
+

From 8f96c941b7948188971862a4919816d3715e1ef9 Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Thu, 10 Feb 2022 20:50:54 +0200
Subject: [PATCH 12/14] task3 added

---
 .../task3/ScenesClassifierNN.ipynb            | 1129 +++++++++++++++++
 1 file changed, 1129 insertions(+)
 create mode 100644 Aleksei_Zavalnyi_task/task3/ScenesClassifierNN.ipynb

diff --git a/Aleksei_Zavalnyi_task/task3/ScenesClassifierNN.ipynb b/Aleksei_Zavalnyi_task/task3/ScenesClassifierNN.ipynb
new file mode 100644
index 0000000..e50444f
--- /dev/null
+++ b/Aleksei_Zavalnyi_task/task3/ScenesClassifierNN.ipynb
@@ -0,0 +1,1129 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "db3386c9",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "executionInfo": {
+     "elapsed": 19875,
+     "status": "ok",
+     "timestamp": 1644475171909,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "db3386c9",
+    "outputId": "d3db62ff-9af2-4d06-db2d-045f0e466185"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mounted at /content/drive\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "#from google.colab import drive\n",
+    "#drive.mount('/content/drive')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "97465ccb",
+   "metadata": {
+    "executionInfo": {
+     "elapsed": 34366,
+     "status": "ok",
+     "timestamp": 1644475210822,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "97465ccb"
+   },
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchvision import transforms, datasets\n",
+    "\n",
+    "\n",
+    "train_nm = 'seg_train/seg_train'\n",
+    "val_nm = 'seg_test/seg_test'\n",
+    "\n",
+    "data_transforms = {\n",
+    "    train_nm: transforms.Compose([\n",
+    "        transforms.Resize(128),\n",
+    "        transforms.RandomCrop(128),\n",
+    "        transforms.RandomHorizontalFlip(),\n",
+    "        transforms.ToTensor(),\n",
+    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
+    "    ]),\n",
+    "    val_nm: transforms.Compose([\n",
+    "        transforms.Resize(128),\n",
+    "        transforms.CenterCrop(128),\n",
+    "        transforms.ToTensor(),\n",
+    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
+    "    ]),\n",
+    "}\n",
+    "\n",
+    "\n",
+    "data_dir = '/content/drive/MyDrive/intel_places_ds'\n",
+    "image_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x),\n",
+    "                                          data_transforms[x])\n",
+    "                  for x in [train_nm, val_nm]}\n",
+    "\n",
+    "dataloaders = {x: torch.utils.data.DataLoader(image_datasets[x], batch_size=64,\n",
+    "                                             shuffle=True,) for x in [train_nm, val_nm]}\n",
+    "\n",
+    "dataset_sizes = {x: len(image_datasets[x]) for x in [train_nm, val_nm]}\n",
+    "class_names = image_datasets[train_nm].classes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "54813a1c",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "executionInfo": {
+     "elapsed": 600,
+     "status": "ok",
+     "timestamp": 1644475216620,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "54813a1c",
+    "outputId": "fb84376a-221c-41bd-f392-465e11bc05cd"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['buildings', 'forest', 'glacier', 'mountain', 'sea', 'street']"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "class_names"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7ee863ec",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "executionInfo": {
+     "elapsed": 624,
+     "status": "ok",
+     "timestamp": 1644475219187,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "7ee863ec",
+    "outputId": "f0341482-7e63-49f2-a021-42cd9aebbed7"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'seg_test/seg_test': 3000, 'seg_train/seg_train': 14034}"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset_sizes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d8de2da1",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "executionInfo": {
+     "elapsed": 16005,
+     "status": "ok",
+     "timestamp": 1644475242717,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "d8de2da1",
+    "outputId": "b78980c0-74d3-443b-c905-8336457b1a48"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(64, 3, 128, 128)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "image, label = next(iter(dataloaders[train_nm]))\n",
+    "image.numpy().shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "5e3d322d",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "executionInfo": {
+     "elapsed": 226,
+     "status": "ok",
+     "timestamp": 1644475245831,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "5e3d322d",
+    "outputId": "db63df81-aa14-479e-daba-de696f6a29cd"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor([3, 4, 4, 5, 4, 5, 3, 2, 2, 4, 0, 5, 0, 4, 1, 4, 5, 2, 4, 5, 3, 0, 2, 1,\n",
+       "        0, 5, 1, 3, 3, 3, 1, 3, 2, 1, 5, 0, 0, 0, 0, 5, 5, 4, 0, 0, 5, 5, 3, 2,\n",
+       "        5, 2, 3, 0, 0, 2, 3, 5, 4, 5, 1, 3, 0, 5, 5, 1])"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "label"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d1396421",
+   "metadata": {
+    "executionInfo": {
+     "elapsed": 226,
+     "status": "ok",
+     "timestamp": 1644475254656,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "d1396421"
+   },
+   "outputs": [],
+   "source": [
+    "image = image.view(-1, *image.size()[2:])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "37b16b49",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 499
+    },
+    "executionInfo": {
+     "elapsed": 380,
+     "status": "ok",
+     "timestamp": 1644475258970,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "37b16b49",
+    "outputId": "ebb291b3-302d-4908-9604-b1ba0f6d9dbe"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(-0.5, 127.5, 127.5, -0.5)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8, 8))\n",
+    "ax = plt.subplot(1, 1, 1)\n",
+    "plt.imshow(image[0], cmap='binary_r')\n",
+    "plt.title(class_names[label[0]])\n",
+    "plt.axis('off')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "028337fe",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 66,
+     "referenced_widgets": [
+      "089d78461bb3476882273712d52505ef",
+      "80d597c826364c33890ede562502946c",
+      "f616e42d5f52400c9737bf4e03cb6303",
+      "8b28035b9eb94f7192405a1ae5bb85c6",
+      "fb3ca65419c343a4a84a0b70d819c286",
+      "54e89c64f0874e0ab3f4273d1a2fe49a",
+      "cdb75fed06b74410bbe1c5d1593db61b",
+      "999c5ddc0fb249969d6e5a31d6aea400",
+      "e777388c96454984abfdd26360c69f83",
+      "c0361cc786804eafb8305ca3c82a03c4",
+      "11889a3b7b11402c9af6b097745298ee"
+     ]
+    },
+    "executionInfo": {
+     "elapsed": 6467,
+     "status": "ok",
+     "timestamp": 1644475279866,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "028337fe",
+    "outputId": "24d10e21-e89f-4f17-dc36-8d1bd3da0cb2"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Downloading: \"https://download.pytorch.org/models/vgg16-397923af.pth\" to /root/.cache/torch/hub/checkpoints/vgg16-397923af.pth\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "089d78461bb3476882273712d52505ef",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0.00/528M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import torchvision\n",
+    "import torchvision.models as models\n",
+    "from torch import nn\n",
+    "\n",
+    "model = models.vgg16(pretrained=True)\n",
+    "\n",
+    "for param in model.parameters():\n",
+    "    param.requires_grad = False\n",
+    "\n",
+    "n_inputs = model.classifier[6].in_features\n",
+    "n_classes = len(class_names)\n",
+    "model.classifier[6] = nn.Sequential(\n",
+    "                      nn.Linear(n_inputs, 256), \n",
+    "                      nn.ReLU(), \n",
+    "                      nn.Dropout(0.4),\n",
+    "                      nn.Linear(256, n_classes),                   \n",
+    "                      nn.LogSoftmax(dim=1))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "2c550b0e",
+   "metadata": {
+    "executionInfo": {
+     "elapsed": 224,
+     "status": "ok",
+     "timestamp": 1644475285068,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "2c550b0e"
+   },
+   "outputs": [],
+   "source": [
+    "import torch.optim as optim\n",
+    "criterion = nn.NLLLoss()\n",
+    "optimizer = optim.Adam(model.parameters(), lr=0.001)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "kSa2qATOUXHs",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "executionInfo": {
+     "elapsed": 779095,
+     "status": "ok",
+     "timestamp": 1644484818077,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "kSa2qATOUXHs",
+    "outputId": "ab8cea9a-3293-47ed-c2cf-bf1bb2631226"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cuda:0\n",
+      "\n",
+      "1 / 5\n",
+      "--------------------\n",
+      "seg_train/seg_train: loss 0.2616, acc 0.90\n",
+      "seg_test/seg_test: loss 0.2442, acc 0.91\n",
+      "\n",
+      "2 / 5\n",
+      "--------------------\n",
+      "seg_train/seg_train: loss 0.2329, acc 0.91\n",
+      "seg_test/seg_test: loss 0.2411, acc 0.91\n",
+      "\n",
+      "3 / 5\n",
+      "--------------------\n",
+      "seg_train/seg_train: loss 0.2219, acc 0.91\n",
+      "seg_test/seg_test: loss 0.2220, acc 0.92\n",
+      "\n",
+      "4 / 5\n",
+      "--------------------\n",
+      "seg_train/seg_train: loss 0.2134, acc 0.92\n",
+      "seg_test/seg_test: loss 0.2222, acc 0.91\n",
+      "\n",
+      "5 / 5\n",
+      "--------------------\n",
+      "seg_train/seg_train: loss 0.2228, acc 0.91\n",
+      "seg_test/seg_test: loss 0.2361, acc 0.91\n"
+     ]
+    }
+   ],
+   "source": [
+    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
+    "print(device)\n",
+    "\n",
+    "if torch.cuda.is_available():\n",
+    "    model.cuda()\n",
+    "\n",
+    "def train_model(model, dataloaders, criterion, optimizer, epochs=15):\n",
+    "    for epoch in range(epochs):\n",
+    "        print(f'\\n{epoch+1} / {epochs}')\n",
+    "        print('-'*20)\n",
+    "        \n",
+    "        for phase in [train_nm, val_nm]:\n",
+    "            if phase == train_nm:\n",
+    "                model.train()\n",
+    "            else:\n",
+    "                model.eval()\n",
+    "                \n",
+    "            running_loss = 0.0\n",
+    "            correct = 0\n",
+    "            \n",
+    "            for X, y in dataloaders[phase]:\n",
+    "                X, y = X.cuda(), y.cuda()\n",
+    "                \n",
+    "                optimizer.zero_grad()\n",
+    "                \n",
+    "                with torch.set_grad_enabled(phase == train_nm):\n",
+    "                    out = model(X)\n",
+    "                    loss = criterion(out, y)\n",
+    "                    _, preds = torch.max(out, 1)\n",
+    "                    \n",
+    "                    if phase == train_nm:\n",
+    "                        loss.backward()\n",
+    "                        optimizer.step()\n",
+    "                \n",
+    "                running_loss += loss.item() * X.size(0)\n",
+    "                correct += torch.sum(preds == y.data)\n",
+    "            \n",
+    "            epoch_loss = running_loss / len(dataloaders[phase].dataset)\n",
+    "            epoch_acc = correct.double() / len(dataloaders[phase].dataset)\n",
+    "            \n",
+    "            print(f'{phase}: loss {epoch_loss:.4f}, acc {epoch_acc:.2f}')\n",
+    "\n",
+    "           \n",
+    "train_model(model, dataloaders, criterion, optimizer, 5)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "2d170480",
+   "metadata": {
+    "executionInfo": {
+     "elapsed": 18042,
+     "status": "ok",
+     "timestamp": 1644485011241,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "2d170480"
+   },
+   "outputs": [],
+   "source": [
+    "true_labels = torch.tensor([]).to(device)\n",
+    "labels = torch.tensor([]).to(device)\n",
+    "\n",
+    "for batch, (X, y) in enumerate(dataloaders[val_nm]):\n",
+    "    X, y = X.to(device), y.to(device)\n",
+    "    true_labels = torch.cat((true_labels, y), 0)\n",
+    "    preds = model(X)\n",
+    "    _, preds = torch.max(preds, dim=1)\n",
+    "    labels = torch.cat((labels, preds), 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c8b4f1f0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Classification report \n",
+      "\n",
+      "              precision    recall  f1-score   support\n",
+      "   buildings       0.93      0.89      0.91       437\n",
+      "      forest       0.99      0.99      0.99       474\n",
+      "     glacier       0.90      0.78      0.84       553\n",
+      "    mountain       0.83      0.89      0.86       525\n",
+      "         sea       0.94      0.98      0.96       510\n",
+      "      street       0.90      0.95      0.92       501\n",
+      "\n",
+      "    accuracy                           0.91      3000\n",
+      "   macro avg       0.91      0.91      0.91      3000\n",
+      "weighted avg       0.91      0.91      0.91      3000\n",
+      "\n",
+      "Confusion matrix \n",
+      "\n",
+      "[[0.89 0.   0.   0.   0.   0.1 ]\n",
+      " [0.   0.99 0.   0.   0.   0.  ]\n",
+      " [0.   0.01 0.78 0.17 0.04 0.01]\n",
+      " [0.   0.   0.09 0.89 0.02 0.  ]\n",
+      " [0.01 0.   0.01 0.01 0.98 0.  ]\n",
+      " [0.05 0.   0.   0.   0.   0.95]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import classification_report, confusion_matrix\n",
+    "print('Classification report \\n')\n",
+    "print(classification_report(true_labels.cpu(), labels.cpu(), target_names=class_names))\n",
+    "conf_matrix = confusion_matrix(true_labels.cpu(), labels.cpu(), normalize='true')\n",
+    "print('Confusion matrix \\n')\n",
+    "print(conf_matrix.round(2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "fb293b9c",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 619
+    },
+    "executionInfo": {
+     "elapsed": 864,
+     "status": "ok",
+     "timestamp": 1644485033348,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "fb293b9c",
+    "outputId": "8bf50a9e-3534-4dc2-80f8-5e4327476594"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import roc_curve, roc_auc_score, auc\n",
+    "fig = plt.figure(figsize=(10, 10))\n",
+    "\n",
+    "n_classes = len(class_names)\n",
+    "lab_plt = [(true_labels.cpu() == float(i)) for i in range(n_classes)]\n",
+    "outs_plt = [(labels.cpu() == float(i)) for i in range(n_classes)]\n",
+    "fpr = dict()\n",
+    "tpr = dict()\n",
+    "roc_auc = dict()\n",
+    "for i in range(n_classes):\n",
+    "    fpr[i], tpr[i], _ = roc_curve(lab_plt[i], outs_plt[i])\n",
+    "    roc_auc[i] = auc(fpr[i], tpr[i])\n",
+    "\n",
+    "\n",
+    "plt.title('ROC curves', fontweight='bold', fontsize=10)\n",
+    "for i in range(n_classes):\n",
+    "    plt.plot(fpr[i], tpr[i], label = f'class {class_names[i]}, auc = {roc_auc[i]:.3f}' )\n",
+    "\n",
+    "plt.legend(loc = 'best')\n",
+    "plt.plot([0,1], [0,1], linestyle='--', color='yellow')\n",
+    "plt.xlabel('False positive rate')\n",
+    "plt.ylabel('True positive rate')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "a6a18f35",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 893
+    },
+    "executionInfo": {
+     "elapsed": 3890,
+     "status": "ok",
+     "timestamp": 1644483158562,
+     "user": {
+      "displayName": "Алексей Завальный",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgZ6CIUFvz8qaxlfQy5lYRlSwdzV6juJ2pwqmXVDg=s64",
+      "userId": "08457095011207098239"
+     },
+     "user_tz": -120
+    },
+    "id": "a6a18f35",
+    "outputId": "9ec24e94-a2d0-49ab-e975-10c0fc26b53f"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x1152 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x1152 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x1152 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "count = 0\n",
+    "for img, label in dataloaders[val_nm]:\n",
+    "    plt.figure(figsize=(16, 16))\n",
+    "    count += 1\n",
+    "    img = img.to(device)\n",
+    "    pred = model(img)\n",
+    "    pred = torch.max(pred, dim=1)\n",
+    "    img = img.view(-1, *img.size()[2:])\n",
+    "    for i in range(3):\n",
+    "        ax = plt.subplot(1, 3, 1+i)\n",
+    "        plt.imshow(img[i*3].cpu(), cmap='binary_r')\n",
+    "        plt.title(class_names[label[0+i]])\n",
+    "        plt.axis('off')\n",
+    "    if count == 3:\n",
+    "        break"
+   ]
+  }
+ ],
+ "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "collapsed_sections": [],
+   "name": "Lessssgo.ipynb",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "089d78461bb3476882273712d52505ef": {
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+     "model_module_version": "1.5.0",
+     "model_name": "HBoxModel",
+     "state": {
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+      "_model_module": "@jupyter-widgets/controls",
+      "_model_module_version": "1.5.0",
+      "_model_name": "HBoxModel",
+      "_view_count": null,
+      "_view_module": "@jupyter-widgets/controls",
+      "_view_module_version": "1.5.0",
+      "_view_name": "HBoxView",
+      "box_style": "",
+      "children": [
+       "IPY_MODEL_f616e42d5f52400c9737bf4e03cb6303",
+       "IPY_MODEL_8b28035b9eb94f7192405a1ae5bb85c6",
+       "IPY_MODEL_fb3ca65419c343a4a84a0b70d819c286"
+      ],
+      "layout": "IPY_MODEL_80d597c826364c33890ede562502946c"
+     }
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+    "11889a3b7b11402c9af6b097745298ee": {
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+      "border": null,
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+      "flex_flow": null,
+      "grid_area": null,
+      "grid_auto_columns": null,
+      "grid_auto_flow": null,
+      "grid_auto_rows": null,
+      "grid_column": null,
+      "grid_gap": null,
+      "grid_row": null,
+      "grid_template_areas": null,
+      "grid_template_columns": null,
+      "grid_template_rows": null,
+      "height": null,
+      "justify_content": null,
+      "justify_items": null,
+      "left": null,
+      "margin": null,
+      "max_height": null,
+      "max_width": null,
+      "min_height": null,
+      "min_width": null,
+      "object_fit": null,
+      "object_position": null,
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+      "overflow_y": null,
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+      "visibility": null,
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+      "_model_module_version": "1.5.0",
+      "_model_name": "DescriptionStyleModel",
+      "_view_count": null,
+      "_view_module": "@jupyter-widgets/base",
+      "_view_module_version": "1.2.0",
+      "_view_name": "StyleView",
+      "description_width": ""
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From c934e606f9b47cd0bfb6ffcda8a1e8956d48e16e Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Thu, 10 Feb 2022 20:52:04 +0200
Subject: [PATCH 13/14] Delete .gitkeep

---
 Aleksei_Zavalnyi_task/task3/.gitkeep | 1 -
 1 file changed, 1 deletion(-)
 delete mode 100644 Aleksei_Zavalnyi_task/task3/.gitkeep

diff --git a/Aleksei_Zavalnyi_task/task3/.gitkeep b/Aleksei_Zavalnyi_task/task3/.gitkeep
deleted file mode 100644
index 8b13789..0000000
--- a/Aleksei_Zavalnyi_task/task3/.gitkeep
+++ /dev/null
@@ -1 +0,0 @@
-

From 4caa899e110672d2b43998b99daf378481f6e9fd Mon Sep 17 00:00:00 2001
From: AlekseiZavalnyi <95776453+AlekseiZavalnyi@users.noreply.github.com>
Date: Thu, 10 Feb 2022 20:53:34 +0200
Subject: [PATCH 14/14] task3 added

---
 .../task3/EmotionsClassifierNN.ipynb          | 1002 +++++++++++++++++
 1 file changed, 1002 insertions(+)
 create mode 100644 Aleksei_Zavalnyi_task/task3/EmotionsClassifierNN.ipynb

diff --git a/Aleksei_Zavalnyi_task/task3/EmotionsClassifierNN.ipynb b/Aleksei_Zavalnyi_task/task3/EmotionsClassifierNN.ipynb
new file mode 100644
index 0000000..e670888
--- /dev/null
+++ b/Aleksei_Zavalnyi_task/task3/EmotionsClassifierNN.ipynb
@@ -0,0 +1,1002 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "Zwlkkk2UTOQb",
+    "outputId": "0336f745-de29-4977-8185-615d1871b7c0"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "#from google.colab import drive\n",
+    "#drive.mount('/content/drive')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "id": "bAKgwflJT4SC"
+   },
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchvision import transforms, datasets\n",
+    "\n",
+    "\n",
+    "train_nm = 'train'\n",
+    "val_nm = 'val'\n",
+    "\n",
+    "data_transforms = {\n",
+    "    train_nm: transforms.Compose([\n",
+    "        transforms.Resize(128),\n",
+    "        transforms.RandomCrop(128),\n",
+    "        transforms.RandomHorizontalFlip(),\n",
+    "        transforms.ToTensor(),\n",
+    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
+    "    ]),\n",
+    "    val_nm: transforms.Compose([\n",
+    "        transforms.Resize(128),\n",
+    "        transforms.CenterCrop(128),\n",
+    "        transforms.ToTensor(),\n",
+    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
+    "    ]),\n",
+    "}\n",
+    "\n",
+    "\n",
+    "data_dir = '/content/drive/MyDrive/emotions_ds/emotions_ds'\n",
+    "image_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x),\n",
+    "                                          data_transforms[x])\n",
+    "                  for x in [train_nm, val_nm]}\n",
+    "\n",
+    "dataloaders = {x: torch.utils.data.DataLoader(image_datasets[x], batch_size=256,\n",
+    "                                             shuffle=True,) for x in [train_nm, val_nm]}\n",
+    "\n",
+    "dataset_sizes = {x: len(image_datasets[x]) for x in [train_nm, val_nm]}\n",
+    "class_names = image_datasets[train_nm].classes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "qhYFKBp3U963",
+    "outputId": "4578a433-1c0e-4e55-b682-29c7c4b2886a"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['anger', 'contempt', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise']"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "class_names"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "gnOIyf3TVCZl",
+    "outputId": "5d8b57cf-2f16-44a9-bf3c-7834a28723ff"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'train': 37557, 'val': 4000}"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset_sizes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "nWsKqS5UVJKQ",
+    "outputId": "1365ae10-238c-4505-d947-a737229ee77b"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(256, 3, 128, 128)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "image, label = next(iter(dataloaders[train_nm]))\n",
+    "image.numpy().shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "HD9gBd0UVlG0",
+    "outputId": "1d824dc5-6da2-4941-dc55-0278d4011f32"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor([2, 1, 0, 7, 2, 3, 5, 0, 5, 1, 3, 0, 2, 0, 7, 4, 1, 0, 3, 3, 4, 3, 1, 0,\n",
+       "        1, 0, 0, 7, 1, 0, 6, 6, 6, 5, 7, 0, 2, 2, 5, 3, 5, 0, 5, 0, 5, 1, 6, 5,\n",
+       "        0, 4, 3, 7, 2, 2, 0, 2, 4, 2, 2, 6, 4, 6, 0, 3, 5, 7, 3, 3, 6, 1, 0, 3,\n",
+       "        0, 6, 6, 3, 7, 1, 1, 2, 7, 6, 1, 0, 5, 5, 4, 1, 0, 0, 4, 3, 1, 7, 6, 3,\n",
+       "        1, 2, 4, 7, 7, 2, 7, 1, 5, 3, 2, 6, 2, 1, 3, 5, 1, 7, 7, 7, 4, 3, 3, 7,\n",
+       "        3, 1, 3, 3, 0, 4, 7, 2, 3, 5, 1, 7, 2, 4, 6, 3, 0, 5, 4, 0, 6, 5, 0, 1,\n",
+       "        4, 0, 3, 5, 2, 5, 5, 5, 7, 7, 4, 6, 1, 7, 6, 0, 2, 7, 5, 0, 5, 7, 5, 7,\n",
+       "        4, 6, 7, 5, 2, 7, 5, 0, 0, 5, 3, 7, 0, 2, 0, 5, 6, 3, 2, 3, 4, 1, 6, 2,\n",
+       "        1, 6, 7, 5, 7, 4, 7, 2, 6, 0, 4, 1, 1, 5, 7, 3, 0, 2, 2, 3, 0, 7, 6, 4,\n",
+       "        3, 0, 3, 0, 3, 6, 2, 5, 0, 2, 3, 2, 6, 3, 0, 4, 0, 3, 1, 6, 4, 0, 1, 1,\n",
+       "        7, 5, 0, 2, 0, 7, 4, 3, 2, 6, 0, 3, 1, 3, 6, 5])"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "label"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "id": "4XPer5beVmfU"
+   },
+   "outputs": [],
+   "source": [
+    "image = image.view(-1, *image.size()[2:])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 499
+    },
+    "id": "X0k8wPCfVqdM",
+    "outputId": "35ed5eff-65eb-4c4d-ed13-cdbd76205c9d"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(-0.5, 127.5, 127.5, -0.5)"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8, 8))\n",
+    "ax = plt.subplot(1, 1, 1)\n",
+    "plt.imshow(image[0], cmap='binary_r')\n",
+    "plt.title(class_names[label[0]])\n",
+    "plt.axis('off')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 66,
+     "referenced_widgets": [
+      "650feb22549c436984f26544b5cb2050",
+      "8bde4d4ad01c4f6bbc89a8b0dde20e93",
+      "b4dd362bccf742909e932901abcbcd89",
+      "6f2df96f7f7a44bc9a42ee2c86a43063",
+      "9477613b16ec4f0fa74c2006590985b9",
+      "6510fd75477a43c9b7fb395f4d9e5d9f",
+      "551ac8bb6e444a4eb8e0f30d9d80fd98",
+      "ba1c85541c464a6f87d1475b08d96db0",
+      "d9f38dbfa0684c3da029bec8a9e401ef",
+      "a302070f706a4427b31f1c8e5de51aef",
+      "2fde7b258cb54faaadeabdbaf8b2f8eb"
+     ]
+    },
+    "id": "eCsENUPPXbkn",
+    "outputId": "ed614928-7254-425b-d083-92e285fde779"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Downloading: \"https://download.pytorch.org/models/resnet152-394f9c45.pth\" to /root/.cache/torch/hub/checkpoints/resnet152-394f9c45.pth\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "650feb22549c436984f26544b5cb2050",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0.00/230M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import torchvision\n",
+    "import torchvision.models as models\n",
+    "from torch import nn\n",
+    "\n",
+    "model = torchvision.models.resnet152(pretrained=True)\n",
+    "\n",
+    "for param in model.parameters():\n",
+    "    param.requires_grad = False\n",
+    "\n",
+    "n_inputs = model.fc.in_features\n",
+    "n_classes = len(class_names)\n",
+    "\n",
+    "model.fc = nn.Sequential(nn.Flatten(),\n",
+    "                         nn.Linear(n_inputs, 128),\n",
+    "                         nn.ReLU(),\n",
+    "                         nn.Linear(128, n_classes),\n",
+    "                         nn.Softmax(dim=1))\n",
+    "\n",
+    "model.aux_logits = False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "id": "00UBCTK2Xi_L"
+   },
+   "outputs": [],
+   "source": [
+    "import torch.optim as optim\n",
+    "criterion = nn.CrossEntropyLoss()\n",
+    "optimizer = optim.Adam(model.parameters(), lr=0.001)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "vg55ApziYX5F",
+    "outputId": "61c759dc-2bcf-4efc-e373-189d1cfd0dd5"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cuda:0\n",
+      "\n",
+      "1 / 5\n",
+      "--------------------\n",
+      "train: loss 2.0443, acc 0.203\n",
+      "val: loss 2.0672, acc 0.173\n",
+      "\n",
+      "2 / 5\n",
+      "--------------------\n",
+      "train: loss 2.0366, acc 0.209\n",
+      "val: loss 2.0646, acc 0.177\n",
+      "\n",
+      "3 / 5\n",
+      "--------------------\n",
+      "train: loss 2.0262, acc 0.226\n",
+      "val: loss 2.0604, acc 0.186\n",
+      "\n",
+      "4 / 5\n",
+      "--------------------\n",
+      "train: loss 2.0223, acc 0.232\n",
+      "val: loss 2.0603, acc 0.186\n",
+      "\n",
+      "5 / 5\n",
+      "--------------------\n",
+      "train: loss 2.0192, acc 0.236\n",
+      "val: loss 2.0599, acc 0.186\n"
+     ]
+    }
+   ],
+   "source": [
+    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
+    "print(device)\n",
+    "\n",
+    "if torch.cuda.is_available():\n",
+    "    model.cuda()\n",
+    "\n",
+    "def train_model(model, dataloaders, criterion, optimizer, epochs=15):\n",
+    "    for epoch in range(epochs):\n",
+    "        print(f'\\n{epoch+1} / {epochs}')\n",
+    "        print('-'*20)\n",
+    "        \n",
+    "        for phase in [train_nm, val_nm]:\n",
+    "            if phase == train_nm:\n",
+    "                model.train()\n",
+    "            else:\n",
+    "                model.eval()\n",
+    "                \n",
+    "            running_loss = 0.0\n",
+    "            correct = 0\n",
+    "            \n",
+    "            for X, y in dataloaders[phase]:\n",
+    "                X, y = X.cuda(), y.cuda()\n",
+    "                \n",
+    "                optimizer.zero_grad()\n",
+    "                \n",
+    "                with torch.set_grad_enabled(phase == train_nm):\n",
+    "                    out = model(X)\n",
+    "                    loss = criterion(out, y)\n",
+    "                    _, preds = torch.max(out, 1)\n",
+    "                    \n",
+    "                    if phase == train_nm:\n",
+    "                        loss.backward()\n",
+    "                        optimizer.step()\n",
+    "                \n",
+    "                running_loss += loss.item() * X.size(0)\n",
+    "                correct += torch.sum(preds == y.data)\n",
+    "            \n",
+    "            epoch_loss = running_loss / len(dataloaders[phase].dataset)\n",
+    "            epoch_acc = correct.double() / len(dataloaders[phase].dataset)\n",
+    "            \n",
+    "            print(f'{phase}: loss {epoch_loss:.4f}, acc {epoch_acc:.3f}')\n",
+    "\n",
+    "           \n",
+    "train_model(model, dataloaders, criterion, optimizer, 5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "id": "LVQ5ZjO00pLT"
+   },
+   "outputs": [],
+   "source": [
+    "true_labels = torch.tensor([]).to(device)\n",
+    "labels = torch.tensor([]).to(device)\n",
+    "\n",
+    "for batch, (X, y) in enumerate(dataloaders[val_nm]):\n",
+    "    X, y = X.to(device), y.to(device)\n",
+    "    true_labels = torch.cat((true_labels, y), 0)\n",
+    "    preds = model(X)\n",
+    "    _, preds = torch.max(preds, dim=1)\n",
+    "    labels = torch.cat((labels, preds), 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "DQ8OXRlk06b7",
+    "outputId": "0d348b7b-04b9-4d5a-9273-aae02f0e1a91"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Classification report \n",
+      "\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "       anger       0.16      0.40      0.23       500\n",
+      "    contempt       0.22      0.11      0.15       500\n",
+      "     disgust       0.00      0.00      0.00       500\n",
+      "        fear       0.20      0.36      0.26       500\n",
+      "       happy       0.21      0.17      0.19       500\n",
+      "     neutral       0.18      0.24      0.21       500\n",
+      "         sad       0.00      0.00      0.00       500\n",
+      "    surprise       0.18      0.20      0.19       500\n",
+      "\n",
+      "    accuracy                           0.19      4000\n",
+      "   macro avg       0.14      0.19      0.15      4000\n",
+      "weighted avg       0.14      0.19      0.15      4000\n",
+      "\n",
+      "Confusion matrix \n",
+      "\n",
+      "[[0.4  0.07 0.   0.18 0.07 0.14 0.   0.13]\n",
+      " [0.32 0.11 0.   0.16 0.12 0.18 0.   0.1 ]\n",
+      " [0.34 0.05 0.   0.2  0.12 0.15 0.   0.15]\n",
+      " [0.23 0.02 0.   0.36 0.07 0.14 0.   0.18]\n",
+      " [0.26 0.07 0.   0.18 0.17 0.19 0.   0.12]\n",
+      " [0.29 0.06 0.   0.18 0.09 0.24 0.   0.13]\n",
+      " [0.35 0.06 0.   0.24 0.1  0.15 0.   0.11]\n",
+      " [0.25 0.04 0.   0.26 0.1  0.14 0.   0.2 ]]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/usr/local/lib/python3.7/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+      "  _warn_prf(average, modifier, msg_start, len(result))\n",
+      "/usr/local/lib/python3.7/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+      "  _warn_prf(average, modifier, msg_start, len(result))\n",
+      "/usr/local/lib/python3.7/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+      "  _warn_prf(average, modifier, msg_start, len(result))\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import classification_report, confusion_matrix\n",
+    "print('Classification report \\n')\n",
+    "print(classification_report(true_labels.cpu(), labels.cpu(), target_names=class_names))\n",
+    "conf_matrix = confusion_matrix(true_labels.cpu(), labels.cpu(), normalize='true')\n",
+    "print('Confusion matrix \\n')\n",
+    "print(conf_matrix.round(2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 619
+    },
+    "id": "J8k3eG3V1IdT",
+    "outputId": "00efbc20-0ba3-4cc9-85c2-1515120d13a5"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import roc_curve, roc_auc_score, auc\n",
+    "fig = plt.figure(figsize=(10, 10))\n",
+    "\n",
+    "n_classes = len(class_names)\n",
+    "lab_plt = [(true_labels.cpu() == float(i)) for i in range(n_classes)]\n",
+    "outs_plt = [(labels.cpu() == float(i)) for i in range(n_classes)]\n",
+    "fpr = dict()\n",
+    "tpr = dict()\n",
+    "roc_auc = dict()\n",
+    "for i in range(n_classes):\n",
+    "    fpr[i], tpr[i], _ = roc_curve(lab_plt[i], outs_plt[i])\n",
+    "    roc_auc[i] = auc(fpr[i], tpr[i])\n",
+    "\n",
+    "\n",
+    "plt.title('ROC curves', fontweight='bold', fontsize=10)\n",
+    "for i in range(n_classes):\n",
+    "    plt.plot(fpr[i], tpr[i], label = f'class {class_names[i]}, auc = {roc_auc[i]:.3f}' )\n",
+    "\n",
+    "plt.legend(loc = 'best')\n",
+    "plt.plot([0,1], [0,1], linestyle='--', color='yellow')\n",
+    "plt.xlabel('False positive rate')\n",
+    "plt.ylabel('True positive rate')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 893
+    },
+    "id": "PTqtZeRu1Pxt",
+    "outputId": "232c25bc-6efb-4e69-f566-26cd62f166db"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x1152 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x1152 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1152x1152 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "count = 0\n",
+    "for img, label in dataloaders[val_nm]:\n",
+    "    plt.figure(figsize=(16, 16))\n",
+    "    count += 1\n",
+    "    img = img.to(device)\n",
+    "    pred = model(img)\n",
+    "    pred = torch.max(pred, dim=1)\n",
+    "    img = img.view(-1, *img.size()[2:])\n",
+    "    for i in range(3):\n",
+    "        ax = plt.subplot(1, 3, 1+i)\n",
+    "        plt.imshow(img[i*3].cpu(), cmap='binary_r')\n",
+    "        plt.title(class_names[label[0+i]])\n",
+    "        plt.axis('off')\n",
+    "    if count == 3:\n",
+    "        break"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Opinion on the accuracy of the NN\n",
+    "#### Firstly, a lot of photos are distributed incorrectly\n",
+    "#### Secondly, there are photos in which emotions are not strongly expressed\n",
+    "#### Finally, there are overlapped faces (picture 9 above), turned faces and other defectsin the pictures"
+   ]
+  }
+ ],
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+  "colab": {
+   "name": "Untitled",
+   "provenance": []
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+   "language": "python",
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