GitHub: https://github.com/RobertoFalconi/GameRatingsPredictor Brief description and useful links: Hi everyone! This is a project originally made by Roberto Falconi and Federico Guidi for the course "Quantitative Methods for Computer Science" and its teacher Luigi Freda, based at Sapienza - University of Rome. The code is open source and written in Python 3.x but it's also Python 2.x backward compatible. This project goal is to classifie each video game in the dataset by ESRB rating, to do this we used Logistic Regression, Random Forest and k-NON. GitHub repository with full code: https://github.com/RobertoFalconi/GameRatingsPredictor