shameeh/F1-Predictive-Analytics-Architecture
This project ingests live Formula 1 telemetry, processes it through a highly scalable Medallion Lakehouse architecture (Bronze, Silver, Gold) using PySpark, and deploys an XGBoost Classification engine. The pipeline automatically evaluates Friday Race Pace and Saturday Qualifying track position to predict Sunday race outcomes, emailing the results
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 21, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/shameeh/F1-Predictive-Analytics-Architecture"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
JaideepGuntupalli/f1-predictor
🏎️ A machine-learning approach to predict Formula 1 Grand Prix race outcomes.
Jared-Chan/f1ml
Formula One Race Lap-by-Lap Prediction with Machine Learning
VforVitorio/F1_Strat_Manager
AI Models for Strategy Recommendations in Formula 1 races. Final Thesys Project of UIE...
hugomagee/OptimalAthlete
ML system predicting 400m sprint times (R²=0.84) — trained on 18 months of personal race & training data
VaibhavSaran/F1-Primus-AI
An autonomous F1 race prediction agent that fetches weather, telemetry & news data before every...