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F1 Qualifying Predictions | Python | FastF1 | Machine Learning A predictive model that forecasts Formula 1 qualifying results using historical data, team/driver performance factors, and linear regression.

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🏎️ F1 Qualifying Predictions

Predicts Formula 1 qualifying lap times (Q3) using Q1/Q2 performance data, team/driver factors, and machine learning.

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🔧 Features

  • Data Fetching: Uses FastF1 to fetch real qualifying session data.
  • Performance Modeling: Adjusts predictions based on team/driver historical performance.
  • Machine Learning: Linear regression to predict Q3 times from Q1/Q2.
  • Error Metrics: Reports MAE (Mean Absolute Error) and R² scores.

📦 Dependencies

  • Python 3.8+
  • Libraries:
    pip install fastf1 pandas numpy scikit-learn matplotlib seaborn

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F1 Qualifying Predictions | Python | FastF1 | Machine Learning A predictive model that forecasts Formula 1 qualifying results using historical data, team/driver performance factors, and linear regression.

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