f1-predictor and f1-winner
These are competitors: both are standalone machine learning projects that independently predict Formula 1 race outcomes using similar approaches, making them alternative solutions for the same prediction task rather than tools designed to work together.
About f1-predictor
JaideepGuntupalli/f1-predictor
🏎️ A machine-learning approach to predict Formula 1 Grand Prix race outcomes.
Combines historical F1 data from Ergast with feature engineering on driver nationality, circuit characteristics, and weather conditions to train ensemble classifiers (random forest, SVM, Naive Bayes, KNN) that predict podium finishes, points-scoring outcomes, and DNF probability. The Python backend (Pandas, scikit-learn) uses k-fold cross-validation for model selection, while a Next.js frontend with Tailwind CSS surfaces predictions through an interactive web interface.
About f1-winner
tanvi-jain3/f1-winner
A repository to predict the winners of upcoming F1 races.
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