R Deep Learning

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.

Introduction This is post four 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 One of the end products of this series of posts is going to be a handful of models that predict the outcome of a given game.