Food Delivery ETA Prediction

This category documents the complete end-to-end development of a Food Delivery Time Prediction system, from problem definition and business analysis to data exploration, feature engineering, model training, evaluation, and deployment. It presents delivery time estimation as a regression task and demonstrates how traffic, weather, rider attributes, location data, and operational factors are transformed into a production-ready machine learning solution.