{"repo":"MallamTeja/f1_models","free":true,"listed":false,"github":"https://github.com/MallamTeja/f1_models","clone":"git clone https://github.com/MallamTeja/f1_models.git","description":"f1 race winner predictor","language":"Python","stars":17,"topics":["cicd","normalization","feature-engineering","shap","tensorflow","data-analysis","data-engineering","formula1-data-analysis","gbr","predictive-modelling"],"license":"MIT","category":"machine-learning","readme_excerpt":"🏎️ F1 Race Pace Predictor The F1 Race Pace Predictor is a production-grade Machine Learning ecosystem designed to forecast Formula 1 Grand Prix outcomes. By integrating historical racing data from FastF1 , real-time environmental conditions via OpenWeather API , and advanced ensemble models, the system provides high-fidelity predictions for driver lap times across various international circuits. --- Live Deployment The project is fully deployed and accessible via a custom domain with modern networking support: Live Link/Domain: https://f1predictor.tech Subdomain Support: Fully configured for both the root domain ( @ ) and www subdomain. Networking: Dual-stack support for both IPv4 and IPv6 traffic. Infrastructure: Hosted on Render with automated CI/CD pipelines and SSL encryption. --- Data Science & Feature Engineering The core of this project lies in transforming raw telemetry and historical logs into high-impact features for predictive modeling. The Data Pipeline Historical Extraction: Utilizes the FastF1 library to pull session-specific lap times and sector breakdowns from the 2024 season. Real-Time Weather: Ingests live API data from OpenWeather to factor in track temperature and rain probability. Feature Imputation: Employs SimpleImputer with a median strategy to handle missing historical sector data, ensuring model stability during real-time inference. Advanced Feature Engineering Team Performance Score: A normalized metric derived by dividing current constructor point","default_branch":null,"files":null,"tree":[],"storefront":"/r/MallamTeja","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MallamTeja/f1_models/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}