This project is to analyse the TMDB movie dataset which contains data of around 11,000 movies. Here we have analyse the depending factors of a successful movie and all other relationships between depending factors.

├── data
|   |
│   └── tmdb-movies.csv           // dataset
├── pkg
    |
    └── analysis_fn.py            // python module for the necessary functions
├── TMDB_data_analysis.ipynb      // jupyter notebook used for analysis
├── TMDB_data_analysis.html       // html format of jupyter notebook used for analysis
├── environment.yml               // The dependencies we need to create environment
├── README.md
└── LICENSE

To create environment with necessary python libraries for this analysis run the following command

conda env create -f environment.yml

This project is based on tmdb-movies.csv file which contains all the details about 11K movies. One can open this project in Jupyter Notebook using terminal or command promt typing the following command in the project directory

jupyter notebook TMDB_analysis.ipynb

This project is under MIT License see more in LICENSE