Machine Learning and Sports: Data Science’s Best Example of a Class Imbalance

green and black rope

As a budding data scientist and incoming MS candidate at the University of Chicago studying Applied Data Science, I wanted to engage in a project where I could combine my love of sports with the power of analytics. Specifically, given 20 years of athlete data spanning college, draft, and the National Football League (NFL), I wanted to see if I could develop a machine learning model to predict how wide receivers would perform, and uncover which factors most influence NFL success. I sourced my data from two open-source APIs, which together provided me with three datasets consisting of college football,……

This article is free to read

Login to read the full article


By subscribing to our main site, you will also be subscribed to DDIntel – our regular letter showcasing our featured articles and applications.

Bradley Stoller

Aspiring data scientist and MS Applied Data Science Candidate at the University of Chicago.

Leave a Comment