🏁 F1 Simulation ML Project

Predicting Formula 1 race results using machine learning and historical data

Python scikit-learn FastF1 Pandas Machine Learning

📊 Project Status

ML Models

2 Active
Gradient Boosting & Random Forest

Best R² Score

0.553
Random Forest Model

Races Analysed

2 GPs
Dutch & Azerbaijan 2025

Project Status

Active
Ready for next race

🏁 Dutch GP Analysis

Complete analysis of the Dutch Grand Prix including ML predictions, actual results comparison, and detailed insights.

🏎️ Azerbaijan GP Analysis

Complete analysis of the Azerbaijan Grand Prix including ML predictions, actual results comparison, and detailed insights.

🤖 ML Models

Jupyter notebook containing the machine learning models, training data, and prediction algorithms for F1 race outcomes.

🐍 Data Loading Scripts

Python scripts for loading F1 race results using the FastF1 library and processing data for ML models.

📚 Project Documentation

Main project README with installation instructions, features overview, and technical details.

🚀 Ready to predict the next F1 race? Explore Dutch GP & Azerbaijan GP analyses or check the Next Race Checklist!

Last Updated: 2025-09-01 | Project Status: Active Development