Formula One Race Winner and Driver Rank Prediction

• Tech Stack: Predictive Analytics, Machine Learning, Python, FastAPI, Streamlit
• Github URL: Project Link

This project tries to comprehend the data from previous Formula 1 races and forecast the race outcome based on user inputs using Machine Learning Algorithms.

Established predictive analytics framework utilizing 5 machine learning algorithms (SVM, Random Forest, Gaussian Naive Bayes, Decision Trees, Neural Networks) to forecast Formula One race outcomes.

Achieved 85% accuracy in predicting Formula One winners, surpassing average bookmaker forecasts by 8%.