E-sports Round Winner Classifier

This project was a final project for a machine learning course I took at the University of Illinois at Chicago for my Masters in CS. I used standard machine learning practices on a classification dataset for a popular e-sport (Counter-Strike Global Offensive) to develop a round-winner classifier with 75% accuracy.