Machine Learning for NCAA Tournament Bracket Predictions

Learn how to leverage machine learning techniques to enhance your NCAA tournament bracket predictions in this 26-minute tutorial video. Explore the process of developing a predictive model, from initial data setup to generating final predictions. Follow along as the instructor guides you through understanding the data, creating a data pipeline, analyzing season and tournament information, establishing a baseline, implementing an XGBoost machine learning model, predicting matchups, and ultimately constructing your data-driven bracket. Gain valuable insights into predictive modeling while improving your chances of success in NCAA tournament predictions.

Intro
Setup and Import
Data Understanding
Data Pipeline Goal
Step 1- Season Data
Step 2- Tourney Data
Chalk Baseline
XGBoost ML Model
Predicting Matchups
Creating the Bracket