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