Formula 1 Qualifying and Race Analysis
A data science project studying qualifying performance and race outcomes using historical Formula 1 data.
PythonData SciencePredictive Analytics
This University of Maryland project ran from November to December 2024. It used the Formula 1 Data Repository to study qualifying performance and race outcomes.
The analysis brought together data on drivers, constructors, circuits, races, and results. The goal was to explore relationships in historical racing data and use them for predictive modeling.