💣🛠 moved notebooks under examples directory

- jupyter notebooks are generally not a part of production code and thus moved under examples
- fix #4 updated howto.md

HOWTO.md

@@ -2,19 +2,19 @@
 
 <div align = "justify">
 
-The template provides a minimal approach for getting started with an AI/ML project, and has hardly any dependencies required. However, the [`notebooks/BOILERPLATE.ipynb`](notebooks/BOILERPLATE.ipynb) provides popular import and its configurations (like `pandas`, `numpy`, `scikit-learn` and `tensorflow`). A high level directory overview is as follows:
+The template provides a minimal approach for getting started with an AI/ML project, and has hardly any dependencies required. However, the [`examples/BOILERPLATE.ipynb`](examples/BOILERPLATE.ipynb) provides popular import and its configurations (like `pandas`, `numpy`, `scikit-learn` and `tensorflow`). A high level directory overview is as follows:
 
 ```
-├───config          : store all configuration files
+├───config          : store all configuration files/functions
 │
 ├───data            : responsible for all data handling, or contains raw data
 │   └───processed   : contains processed data (like combined/normalized dataframes, tables, etc.)
 │
 ├───logs            : repository to contain log files, can also be saved in `/path/to/directory`
 │
-├───notebooks       : contains boilerplate notebook for EDA and quick data understanding/explanations
+├───examples        : contains boilerplate notebook for EDA and quick data understanding/explanations
 │
-├───output          : directory responsible for all output files
+├───output          : directory responsible for all output files, useful for code development
 │   ├───images      : save output images
 │   └───savedmodels : save trained model files
 │
@@ -25,10 +25,10 @@ The template provides a minimal approach for getting started with an AI/ML proje
 │
 ├───static          : other important/useful resources required in the project
 │   ├───fonts       : store additional fonts, maybe used in documentations
-│   ├───images      : store explanatory images
-│   └───logo        : setup a project logo
+│   ├───images      : store explanatory images, maybe used in documentations and/or ipynb/markdowns
+│   └───logo        : setup a project logo, purely useful for front layer applications can be safely ignored
 │
-└───utilities       : utilities directory containing functions and/or submodules
+└───utilities       : utilities directory containing functions and/or submodules, check readme for more information
 ```
 
 </div>

src/README.md

@@ -4,4 +4,4 @@
 
 A "_heart_" of any project is the `src` which contains the "source" files for the project. As a *production level* code template, the directory provides three important directories as follows (I) `agents` : typically contains agent definations for a RNN application; (II) `engine` : provides a suit of machine learning analytic functions to perform model training and analytics on your dataset without giving up end-to-end performance; and (III) `models` : typically contains model definations.
 
-</div>
+</div>

utilities/README.md

@@ -0,0 +1,10 @@
+<h1 align = "center">Utilities Module</div>
+
+---
+
+<div align = "justify">
+
+Utility module containing useful additional libraries that either [I](https://zenithclown.github.io/) have created or sourced from different open-source
+repositories. The actual submodules can either be added using [`git submodule`](https://git-scm.com/docs/git-submodule) or can be added to `PYTHONPATH`.
+
+</div>