Introduction So up to this point, we pulled down some college basketball data, feature engineered the heck out of it, and used keras to predict wins/losses as well as predicting the point differential. In this post, I will show the implimentation of the xgboost algorithm for both a regression and a classification task, the same tasks that we tackled in the last two posts. Here are links to the other posts in this series if you need reference.