In this repository, I predicted the outcomes of certain matchups in March Madness based on data provided by Merkle. Using Logistic Regression (as well as experimenting with other machine learning algorithms), I achieved an accuracy of predicting 76% of games accurately.
Run the python notebook March-Madness-03062018-Experimenting-76%.ipynb to see results.