#🏎️ F1 Race Prediction using Machine Learning
Welcome to the F1 Race Predictor repository! This project uses machine learning to predict outcomes of Formula 1 Grand Prix races based on historical data, driver/team stats, and real-time race conditions.
🚀 The first deployed model is based on Gradient Boosting, with many more models to follow.
#📂 Repository Structure
F1_GradientBoosting_Model.ipynb → Colab notebook implementing & deploying the Gradient Boosting model.
data/ → Folder for race data (CSV, JSON, API responses).
models/ (coming soon) → Saved models, pipelines, or ONNX exports.
F1_Model_Comparison.ipynb (upcoming) → Notebook comparing model performance across various ML algorithms.
#🔮 Goals
This project aims to:
Build predictive ML models for F1 race outcomes (winner, podiums, points).
Explore various algorithms:
Gradient Boosting ✅
Random Forest 🌱
XGBoost ⚡
Neural Networks 🧠
Ensemble Blending 🔁
Deploy top models via web interface or APIs.
Track feature importances: track type, weather, driver, team form, qualifying position.
#✅ Current Model: Gradient Boosting
Status: ✅ Deployed
Features Used: Driver, constructor, qualifying position, previous form, etc.
Performance Metrics:
Accuracy: XX%
LogLoss: YY (To be updated with your results)
#🧪 Planned Enhancements
Add more seasons of data (2010–2024)
Use real-time APIs for live predictions
Hyperparameter tuning with Optuna
Model dashboard with Streamlit or Gradio
#🧠 Tech Stack
Languages: Python
Libraries: pandas, scikit-learn, xgboost, matplotlib, seaborn
Deployment: Streamlit / Flask (optional)
Notebook Runtime: Google Colab
#📈 Model Roadmap
Model Status Link
Gradient Boosting ✅ Done Random Forest 🔄 Coming Soon XGBoost 🔄 Coming Soon Ensemble Voting 🔄 Coming Soon
#✨ How to Use
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Clone the repo or open .ipynb notebooks in Google Colab.
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Install required libraries (if needed):
!pip install pandas scikit-learn xgboost
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Run cells step-by-step to train and test.
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Use deployment code (Streamlit or Flask) to make predictions.
#🤝 Contributing
If you'd like to contribute:
Fork the repo
Create a new branch
Submit a pull request
#📬 Contact
Created with ❤️ by Gitesh Malik 📧 Email: giteshmalik0410@gmail.com 🔗 GitHub: github.com/evildead23151