This project tries to build an interpretable and deployable model which could predict the results of the given Baseball and NBA(Basketball) data.

This project works on a consumer data set by initially cleaning it and then trying to extract out meaningful insights from the processed data set.

This content based movie recommendation system recommends movies to the user based on the genres of the movies that he has either already watched or has given a high rating.

This project aims at visually interpreting district wise people's data and drawing out some meaningful result from the analysis.