https://github.com/nnamanx/f1_strategy_optimization
we aim to predict the finishing positions and very first pit stop lap in Formula 1 races based on a set of features derived from driver statistics, circuit characteristics, and race conditions
https://github.com/nnamanx/f1_strategy_optimization
exploratory-data-analysis machine-learning random-forest-regression streamlit xgboost-regression
Last synced: 11 months ago
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we aim to predict the finishing positions and very first pit stop lap in Formula 1 races based on a set of features derived from driver statistics, circuit characteristics, and race conditions
- Host: GitHub
- URL: https://github.com/nnamanx/f1_strategy_optimization
- Owner: nnamanx
- Created: 2024-05-09T07:18:19.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-12T16:09:42.000Z (about 2 years ago)
- Last Synced: 2025-04-12T08:56:53.880Z (about 1 year ago)
- Topics: exploratory-data-analysis, machine-learning, random-forest-regression, streamlit, xgboost-regression
- Language: Jupyter Notebook
- Homepage:
- Size: 1.66 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: