Stock Market Prediction

This repository contains the notebook, code and documentation related to this project Stock Market Prediction. Idea of this project is to continue my learning after two previous projects on Predicting Term Deposit(tabular data) and kitchenware classifier as part of the Machine Learning Zoomcamp Course.

1. Business Problem Description

2. About the Dataset

3. Approach to solve the problem

3.1 EDA to understand dataset

3.2 Model training

3.3 Model Deployment in the cloud

4. About files in this repo

Below is a description of the key files:

File name	Description
README.md	The file you are reading now, meant for the user as an introduction to help navigating the project
notebook.ipynb	Jupyter notebook file where EDA, training models, parameter tuning etc. are done during development in Saturn Cloud
train.py	python script converted from `notebook.ipynb`

5. Development System

OS: Ubuntu 20.04.5 LTS
Architecture: x86_64
conda virtual environment for development
pipenv for deployment

6. How to reproduce this project

In order to reproduce this project, first of all, clone this repo in your local machine with the command:

git clone  https://github.com/bhasarma/stock-market-prediction.git

Now go inside the project directory with the command:

cd stock-market-prediction

6.1 Development

Development part i.e. till training the models in Jupyter notebook, finding the best model and saving it, is done in a conda environment. If you want to run the notebook localy, then you have to recreate the conda environment that I used for development. For this, you first have to install Anaconda on your system, if you have not done it already.

Installing Anaconda Install Anaconda by following these instructions in this Anaconda page. This site automatically detects the operating system and suggest the correct package. Just download it into your local machine by simply clicking on Download. Once download is completed, go to the directory where bash (.sh file) installer is donwloaded.

bsarma@turing:~$ cd Downloads/
bsarma@turing:~/Downloads$ ls
Anaconda3-2022.10-Linux-x86_64.sh

Next, run the bash installer script (.sh script) to install Anaconda3:

bsarma@turing:~/Downloads$ bash Anaconda3-2022.10-Linux-x86_64.sh

Follow the instructions during installation.

Then, source the .bash-rc file to add Anaconda to your PATH:

$ cd ~
$ source .bashrc

To verify the installation is complete, open Python from the command line:

(base) bsarma@turing:~$ python
Python 3.9.13 (main, Aug 25 2022, 23:26:10) 
[GCC 11.2.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>

If you see Python 3.9 from Anaconda listed, your installation is complete. To exit the Python REPL, type:

>>> exit()

bhasarma/stock-market-prediction