NYC Taxi Fare Prediction System

An end-to-end Machine Learning project that predicts New York City taxi fares based on trip details such as pickup and drop-off locations, passenger count, and pickup date and time.

The project includes data cleaning, feature engineering using the Haversine formula, exploratory data analysis, model training, performance evaluation, and prediction. It demonstrates the complete machine learning workflow from raw data to a trained predictive model.