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
23
/ 100
Experimental
No Package
No Dependents
Maintenance
13 / 25
Adoption
1 / 25
Maturity
9 / 25
Community
0 / 25
Stars
1
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—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 21, 2026
Commits (30d)
0
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