This project is a continuation of a multivariate linear regression project I completed during the Metis Data Science Bootcamp. For this project, I scraped data from the UFCStats.com from 1998 through 2021. I engineered several features with the objective of clustering fighters by their different fighting styles, which could then be used to inform betting on fights. I was interested in improving my betting on the winner, winning method, and winning round of fights (primarily to beat my friends). I organized information relevant to betting on these details, include historical matchups of different fighting styles, on a set of Tableau dashboards and a Streamlit application.
Visit the Streamlit application and my Tableau Public dashboards to explore the data for yourself.
For a full write-up on this project, read my blog post on Medium.
Watch my powerpoint presentation on YouTube. You can also watch my app and code review.