This Python script analyzes weather data for New York City. It fetches historical weather data from an API, preprocesses it, and then trains a Linear Regression model to predict the maximum temperature. The script also evaluates the model's performance using Mean Absolute Error (MAE) and R-squared (R²) score, and visualizes the results.
