Jared-Chan/f1ml

Formula One Race Lap-by-Lap Prediction with Machine Learning

Archived
35
/ 100
Emerging

Implements dual ML models trained on 20 years of F1 telemetry data to predict lap times, driver positions, pit strategies, and collision events across full races. Leverages the Ergast Developer API to backtest predictions against historical races since 2001, with configurable randomness for scenario exploration. Built as an interactive Streamlit web application featuring real-time lap-by-lap visualization and position tracking graphs.

186 stars. No commits in the last 6 months.

Archived No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 17 / 25

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Stars

186

Forks

26

Language

Jupyter Notebook

License

—

Category

formula-1-race-prediction

Last pushed

Mar 25, 2022

Commits (30d)

0

GitHub
Formula 1 Race Prediction · 22 frameworks

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