Stock price predictor

Environment, Libraries used

• Aanconda (Mac)
• Python 2.7
• Numpy
• Pandas
• Sklearn
• Matplotlib
• Keras
• Jupyter notebook

To open Jupyter Notebook

export BROWSER=open && jupyter notebook

Datasets

./data directory contains .csv files

Jupyter Notebooks

• Linear Regression model
• LSTM model v.1
• LSTM model v.2
• LSTM model v.3

Proposal

• Proposal (.md)
• Proposal (.pdf)

Report

• Report (.md)
• Report (.pdf)

Notes

To convert markdown to pdf (Use Node.js version 6 or above)

npm i            # Install dependency
npm run proposal # Create proposal.pdf from proposal.md
npm run report   # Create report.pdf from report.md