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This repository implements a Food Delivery Time Prediction project using machine learning to estimate delivery times based on features like order details, delivery partner data, and environmental factors. It covers data preprocessing, feature engineering, model training, and evaluation for accurate predictions.
Food Delivery Time Prediction using Machine Learning Techniques
This repository contains code for predicting food delivery time using Long Short-Term Memory (LSTM) neural networks.
Food Delivery Time Prediction
Food Delivery Time Prediction: A machine learning project that estimates the time it takes for food deliveries based on historical data and various factors.
In today's fast-paced world, efficient food delivery is crucial. This project presents a robust and modular end-to-end machine learning pipeline designed to predict food delivery times. By leveraging a rich dataset containing delivery personnel details, restaurant locations, order information, and environmental factors like weather and traffic.
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