Regression

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.

Introduction This is post 6 of a multi-part analysis of college basketball game outcomes. There are probably going to be things I mention in this post that I talked about in prior posts, so here are the links if you need to catch up. Post 1: Data Prep Post 2: Understanding the Dataset Post 3: Data Preprocessing Post 4: A Cluster Analysis Post 5: A Simple Neural Network With Keras Last post showed how to use Keras for a classification task by classifying wins and losses.