This project uses ESPN scraped data on BPI, Team season stats, and other statistics to create models to predict the 2022 march madness tournament using Parsehub, preprocessed with python pandas

Uses logistic regression, XG boost, random forest models and tests which of them do best on the submission in Kaggle's March Machine Learning Mania 2022 - Men’s Tournament challenge.