Task: Build a simple supervised machine learning regression model using the California Housing dataset from scikit-learn, evaluate it using appropriate metrics, and deploy it with a minimal Streamlit app for predicting housing prices.

This project predicts the race results of the 2025 Formula 1 season based on Q3 qualifying session data. It uses real-time data from [FastF1] and incorporates team and driver performance factors for more accurate race outcome estimation.