IMDB_rating_analysis_primer      

Movie ratings data analysis, using IMDB's depot and sklearn regression

A project to explore IMDB movie ratings data and quickly show what influences movie ratings. Approach:

1. download IMDB data and store it in AWS s3 bucket
2. perform EDA and use only numerical data (to save time, one-hot encoding inflates the process)
3. do simple ML analysis (RF and variable importance) and show features and their relationship to ratings
4. provide guidelines for better/more accurate approaches

About this repo

A jupyter notebook (IMDB_rating_analysis_primer.ipynb) which performs the above procedures and provides figures and tables:

Packages needed:

• sklearn
• matplotlib
• numpy
• pandas

To avoid the version and warning issues, we install s3fs here.

!pip install s3fs

An example output (Feature importance with standard deviations):

Contributing and Permissions

Please do not directly copy anything without my consent. Feel free to reach out to me at https://www.linkedin.com/in/mulugeta-semework-abebe/ for ways to collaborate or use some components.