From e25b59ee9287aef426a33448156b5ba6bebe48b8 Mon Sep 17 00:00:00 2001 From: raun1997 Date: Sat, 1 Apr 2023 12:32:39 +0530 Subject: [PATCH] added markdown headings for quick navigation --- ...r Regression From Scratch-checkpoint.ipynb | 98 +++++++++++-------- .ipynb_checkpoints/practice-checkpoint.ipynb | 6 ++ Linear Regression From Scratch.ipynb | 66 ++++++++++++- 3 files changed, 125 insertions(+), 45 deletions(-) create mode 100644 .ipynb_checkpoints/practice-checkpoint.ipynb diff --git a/.ipynb_checkpoints/Linear Regression From Scratch-checkpoint.ipynb b/.ipynb_checkpoints/Linear Regression From Scratch-checkpoint.ipynb index 257d102..4237d9b 100644 --- a/.ipynb_checkpoints/Linear Regression From Scratch-checkpoint.ipynb +++ b/.ipynb_checkpoints/Linear Regression From Scratch-checkpoint.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 62, "id": "c1ace64a", "metadata": {}, "outputs": [], @@ -39,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 63, "id": "516f6a93", "metadata": {}, "outputs": [ @@ -107,7 +107,7 @@ "4 -9.839679 -12.531222" ] }, - "execution_count": 10, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } @@ -127,7 +127,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 64, "id": "a85a36f2-6f92-441c-aa70-bcb31f7fc15a", "metadata": {}, "outputs": [ @@ -137,7 +137,7 @@ "(500, 2)" ] }, - "execution_count": 12, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -156,7 +156,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 65, "id": "777becb3-3364-48f2-ad93-358871d29b40", "metadata": {}, "outputs": [], @@ -179,14 +179,14 @@ "metadata": {}, "source": [ "We define a method `MSE()` that will compute the loss incurred at each epoch. We aim to minimise the distance between the data and the line after each epoch. The higher the cost (or Error), the more the parameter values need to be changed in order to bring it down.
\n", - "The Error function is represented as $ E = \\frac{1}{n} \\sum_{i=0}^{n} (y_i - \\hat{y})^2 $ where,
$ y_i $ is the actual value,
$ \\hat{y} $ is the predicted value,
$ n $ is the total number of data points or samples.
\n", + "The Error function is represented as $$ E = \\frac{1}{n} \\sum_{i=0}^{n} (y_i - \\hat{y})^2 $$ where,
$ y_i $ is the actual value,
$ \\hat{y} $ is the predicted value,
$ n $ is the total number of data points or samples.
\n", "\n", "An *epoch* is a single iteration over a dataset of features.\n" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 66, "id": "239f4f20", "metadata": {}, "outputs": [], @@ -212,7 +212,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 67, "id": "76c4402b", "metadata": {}, "outputs": [ @@ -222,7 +222,7 @@ "182.94204589695937" ] }, - "execution_count": 15, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -243,7 +243,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 68, "id": "99e9d5b7", "metadata": {}, "outputs": [], @@ -281,7 +281,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 128, "id": "4109a79c", "metadata": {}, "outputs": [ @@ -417,33 +417,36 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 123, "id": "8214be9c-bc25-4559-b1b4-f475ad2f483e", "metadata": {}, "outputs": [], "source": [ - "plt.style.use('ggplot') # setting the theme" + "plt.style.use('fivethirtyeight') # setting the theme" ] }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 126, "id": "8298d39c-68e2-49e7-a80f-4d89e0cf39c6", "metadata": {}, "outputs": [], "source": [ - "mpl.rcParams['figure.figsize'] = (6, 4) # setting the figure size" + "mpl.rcParams['figure.figsize'] = (6, 4) # setting the figure size\n", + "mpl.rcParams['axes.labelsize'] = 10 # setting the label size\n", + "mpl.rcParams['xtick.labelsize'] = 10 # setting the xtick's label size\n", + "mpl.rcParams['ytick.labelsize'] = 10 # settingthe ytick's label size" ] }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 129, "id": "0ccd2003", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -453,24 +456,29 @@ } ], "source": [ - "fig, ax = plt.subplots(1,1)\n", + "# Create just a figure and only one subplot\n", + "fig, ax = plt.subplots(tight_layout=True)\n", "\n", "# scatter plot, actual values\n", "ax.scatter(data.Features, \n", " data.Targets, \n", - " color=\"red\", \n", - " linewidths=0.1, \n", + " marker=\".\",\n", + " color=\"r\",\n", + " linewidths=1, \n", " label=\"Points\")\n", "\n", "# line plot, predicted values\n", "ax.plot(data.Features, \n", - " [m * x + c for x in data.Features], \n", - " linewidth=3, \n", - " color='green', \n", + " [m * x + c for x in data.Features], \n", + " \"g-\",\n", + " linewidth=2,\n", " label=\"$ f(x) = mx+c $\")\n", "\n", "# legend\n", - "ax.legend(loc=\"lower right\", bbox_to_anchor=(.96, 0.0))\n", + "ax.legend(loc=\"lower right\", \n", + " bbox_to_anchor=(.96, 0.0),\n", + " shadow=True,\n", + " fontsize=10)\n", "\n", "# labels\n", "ax.set_xlabel(\"Features\")\n", @@ -482,7 +490,7 @@ }, { "cell_type": "markdown", - "id": "6cbbcb77-85b7-46cf-9cf3-d0d5cb2e5dc8", + "id": "6feb9053-65c7-4be0-a59f-9dc3e67518af", "metadata": {}, "source": [ "We can clearly see the BAD line-fitting that followed." @@ -499,7 +507,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 130, "id": "6d038ad7", "metadata": {}, "outputs": [ @@ -509,13 +517,13 @@ "34.815768029154874" ] }, - "execution_count": 10, + "execution_count": 130, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "MSE(data, m, b)" + "MSE(data, m, c)" ] }, { @@ -523,13 +531,13 @@ "id": "8d702dfe", "metadata": {}, "source": [ - "An average loss of `35` indicates that our model is gradually getting better. We can fine-tune our model in order to reduce loss further.
\n", + "An average loss of `35` indicates that our model is gradually getting better. We can tweak our model in order to reduce loss further.
\n", "Our learning rate is `0.001` which is microscopic. The algorithm will take a LOT of time to converge i.e. reach the minima value for the error function $E$. Increasing the epoch is a bad option because it will result in an unnecessary increase in computation resources. Let's try adjusting the **learning rate**. How about `0.01`?" ] }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 131, "id": "99d8917d", "metadata": {}, "outputs": [ @@ -665,7 +673,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 132, "id": "28384f41", "metadata": {}, "outputs": [ @@ -675,7 +683,7 @@ "17.469113719731904" ] }, - "execution_count": 49, + "execution_count": 132, "metadata": {}, "output_type": "execute_result" } @@ -690,18 +698,18 @@ "metadata": {}, "source": [ "Bingo! We were able to minimize the loss. Our **Gradient Descent** algorithm proved to be very efficient.\n", - "Let's quickly perform 2-D plotting using our favourite `matplotlib` library." + "Let's quickly perform 2-D visualization." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 133, "id": "875078c1", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -711,21 +719,25 @@ } ], "source": [ - "fig, ax = plt.subplots(1,1)\n", + "fig, ax = plt.subplots(tight_layout=True)\n", "\n", "ax.scatter(data.Features, \n", " data.Targets, \n", - " color=\"red\", \n", - " linewidths=0.1, \n", + " color=\"r\",\n", + " marker=\".\", \n", + " linewidths=1, \n", " label=\"Points\")\n", "\n", "ax.plot(data.Features, \n", - " [m * x + c for x in data.Features], \n", - " linewidth=3, \n", - " color='g',\n", + " [m * x + c for x in data.Features], \n", + " 'g-',\n", + " linewidth=2,\n", " label=\"$ f(x) = mx+c $\")\n", "\n", - "ax.legend(loc=\"lower right\", bbox_to_anchor=(.96, 0.0))\n", + "ax.legend(loc=\"lower right\", \n", + " bbox_to_anchor=(.96, 0.0),\n", + " shadow=True,\n", + " fontsize=10)\n", "ax.set_xlabel(\"Features\")\n", "ax.set_ylabel(\"Targets\")\n", "\n", diff --git a/.ipynb_checkpoints/practice-checkpoint.ipynb b/.ipynb_checkpoints/practice-checkpoint.ipynb new file mode 100644 index 0000000..363fcab --- /dev/null +++ b/.ipynb_checkpoints/practice-checkpoint.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Linear Regression From Scratch.ipynb b/Linear Regression From Scratch.ipynb index 4237d9b..3af950e 100644 --- a/Linear Regression From Scratch.ipynb +++ b/Linear Regression From Scratch.ipynb @@ -1,5 +1,13 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "c33de807-3f38-4b78-b474-48f45c674e20", + "metadata": {}, + "source": [ + "# What on earth is this Linear Regression?" + ] + }, { "cell_type": "markdown", "id": "5f0a1fc6-ff76-4e0f-b563-4d5af6d8d007", @@ -173,6 +181,14 @@ "The number of rows corresponds to the total number of data samples. " ] }, + { + "cell_type": "markdown", + "id": "dd434bf8-3cb6-4073-93bc-bde8875ab105", + "metadata": {}, + "source": [ + "# Mean Square Error" + ] + }, { "cell_type": "markdown", "id": "ae6fe76b", @@ -233,10 +249,48 @@ }, { "cell_type": "markdown", - "id": "90e9ecad", + "id": "adc034bd-8729-4eaf-a6c7-aa6ccf44e64a", "metadata": {}, "source": [ - "We get a loss of around `183`. As I wrote earlier, our aim in Linear Regression is to minimise this value. Hence, we perform the elegant [Gradient Descent](https://developer.ibm.com/learningpaths/learning-path-machine-learning-for-developers/learn-regression-algorithms/?mhsrc=ibmsearch_a&mhq=regression) Algorithm. Extensively used in Machine Learning, this process involves finding the **local minimum** of a function. The sole idea behind this algorithm is to, provided a certain learning rate $ \\gamma $, take iterative steps (slowly) in the direction of $ -\\nabla{E} $ (negative gradient) in order to minimise the error rate. Each iteration of gradient descent updates the `m` and the `c` (collectively denoted by $\\theta$) according to,
\n", + "We get a loss of around `183`. As I wrote earlier, our aim in Linear Regression is to minimise this value. Hence, we perform the elegant [Gradient Descent](https://developer.ibm.com/learningpaths/learning-path-machine-learning-for-developers/learn-regression-algorithms/?mhsrc=ibmsearch_a&mhq=regression) Algorithm. Extensively used in Machine Learning, this process involves finding the **local minimum** of a function. The sole idea behind this algorithm is akin to that of a blind, old man trying to go down a hill.
" + ] + }, + { + "cell_type": "markdown", + "id": "aaa1dfc9-5cfb-474a-a72b-c191a3ca4d4c", + "metadata": {}, + "source": [ + "# Intuition Behind Gradient Descent" + ] + }, + { + "cell_type": "markdown", + "id": "abceb545-541d-41a8-aaf6-a5667f646172", + "metadata": {}, + "source": [ + "Let's consider a scenario where a blind man, equipped only with a blind cane, is standing at a hill's summit at some point. If we wishes to descent, he should take miniature steps towards the bottom of the hill lest he stumble. He will extensively use the local neighbourhood information to plan his next step carefully. He can stop when he is very close to the bottom of the hill. This bottom, is analogous to the **global minimizers** of any function. If he feels a flat surface or a small valley with his cane, he might deduce that he reached the bottom, when in fact he didn't. Such a flat surface is analogous to stationary points of a function, that are definitely not the **global minimizers**." + ] + }, + { + "cell_type": "markdown", + "id": "ddb6f7ef-0a4c-472a-9156-5f235ebdae0c", + "metadata": {}, + "source": [ + "# So What Is Gradient Descent?" + ] + }, + { + "cell_type": "markdown", + "id": "a2d14f69-b4b6-4ae1-99bb-82f7a8815331", + "metadata": {}, + "source": [ + "Similarly, the basic storyline of Gradient Descent is to\n", + "* start at some point (also known as the initialization),\n", + "* somehow move down slowly (with small step-size) using the local neighborhood\n", + "information towards the minimizer/stationary point,\n", + "* and when very close to or at the minimizer/stationary point, we stop.\n", + "\n", + "Mathematically, provided a certain learning rate $ \\gamma $, take iterative steps (slowly) in the direction of $ -\\nabla{E} $ (negative gradient) in order to minimise the error rate. Each iteration of gradient descent updates the `m` and the `c` (collectively denoted by $\\theta$) according to,
\n", "$$ \\theta^{t+1} = \\theta^{t} - \\gamma \\frac{\\partial{E}(X, \\theta)}{\\partial{\\theta}} $$ where $ \\theta^t $ denotes the weights (slope) and the bias (intercept) at iteration $t$.\n", "
" ] @@ -415,6 +469,14 @@ "Having obtained the final values for both `m` and `c`, we now perform visualization using `matplotlib`.
" ] }, + { + "cell_type": "markdown", + "id": "b250cefa-5b99-44c0-9e65-670d1548152e", + "metadata": {}, + "source": [ + "# Data Visualization" + ] + }, { "cell_type": "code", "execution_count": 123,