G-league Indicator to NBA Success and Player Injury Prediction
An alternative solution for predicting player injuries: applying Collaborative Filtering to build a player injury recommender.
Project Summary
- Conducted Two-Sample T-Test analysis to determine the most significant statistical indicators for NBA success among G- League players with two-way contracts.
- Proposed interdisciplinary collaboration with coaches, players, and medical experts to develop a machine learning model that predicts the likelihood of basketball player injuries and their severity.