NBA MVP prediction model under 'nba_mvp_prediction' uses 3 different models: Regression, Classification and Convultional Neural Nets to predict if a player can be the MVP (most valuable player) given their stats in an NBA season. Each category (Regression, Classification, CNN) has a manually made model and a model using a sklearn or pytorch library.
Uses the data file mvp_votings.csv which was made using script mvp_scrapper.py