SF Bay Area Bike Share

This is an end-to-end machine learning example to show the key aspects and breadth of the ML.

How to use?

1. Download the data from Kaggle - https://www.kaggle.com/benhamner/sf-bay-area-bike-share
2. Unzip and place it in data/input directory.
3. Install python dependencies using pip install -r requirements.txt
4. Run the notebooks in the order they are named.
5. Follow app/README.md for hosting the application.

Credits: Most of the code is borrowed from https://github.com/xadrianzetx/fullstack.ai and modified to run on local machine. All the credits of putting this together should go to @xadrianzetx.