top of page


Forecasting Outcomes in Formula 1 Racing

Edward Voskanian, Ryan Bausback, Ali Arslanhan


In each Formula 1 race weekend, three practice sessions precede the qualifying round, determining the starting grid for the race. This project aims to leverage machine learning techniques to identify key factors from practice sessions that significantly impact qualifying results. The objective is to accurately predict the outcomes of the qualifying round.

Screen Shot 2022-06-03 at 11.31.35 AM.png
github URL
bottom of page