POV: you’re bored so you use AI to code you a machine learning model that will predict the upcoming F1 Spain GP! How do you think it did?! Here is the prompt I used 👇 Build a Python machine learning project that predicts the winner of the 2025 Spanish Grand Prix using historical Formula 1 data. Use the Ergast API to pull past race data (results, qualifying, drivers, constructors), with a focus on the Circuit de Barcelona-Catalunya. Include steps to: Download and process the race, qualifying, and constructor standings data from 2015 to 2024. Engineer features like qualifying position, team performance, previous wins at this circuit, and current season form. Train a classification model (Random Forest or XGBoost) to predict the winning driver for a given race. Output the top 3 predicted drivers for the 2025 Spanish GP given mock qualifying positions and current standings. Use pandas for data processing, scikit-learn or XGBoost for modeling, and matplotlib for any charts. Make s...