LightGBM approach to predict the 2021 NCAAMW Basketball Tournament Outcomes
Kaggle's March Machine Learning Mania challenges data scientists to predict the outcomes of the 2021 NCAAW basketball tournament. The competition provides data of historical NCAAW games and allows other sources of publicly available data to perform this task. The solution is based on basic feature engineering and LightGBM. Additional information about the competition can be found on the Kaggle Competition page.
Github issues and pull requests are welcome. Your feedback is much appreciated!
April 2021, Abdelghani Belgaid