I completed this project as a part of my Metis Data Science Bootcamp in the second week of January. But, now as a part of my relearning experience, I am looking back to see how I could have done things differently, with all that I have learned from my bootcamp as well as from my friends, since then. In this process, I have captured the best EDA techniques and the best practices of coding that I missed initially. All the analysis are presented in the jupyter notebook file - MTA_Turnstile_DataExploration.ipynb.

I hope you enjoy going through the project, as much as i did doing it. Have Fun, Samy Pal

Template Organization
---------------------
├── MTA_Turnstile_DataExploration.ipynb
├── README.md
└── template_project
    ├── LICENSE.txt
    ├── MTA_data_imported.ipynb
    ├── README.txt
    ├── code
    │   ├── __init__.py
    │   └── hello_script.py
    ├── data
    │   ├── external
    │   ├── interim
    │   ├── processed
    │   │   └── mta_full.csv
    │   └── raw
    ├── docs
    ├── references
    └── reports
        └── figures