Review of Prediction of Delay in Flights using Machine Learning Techniques

Predicting flight delays is crucial for the aviation industry to improve operational efficiency and enhance passenger experience. Machine learning techniques have emerged as powerful tools forecasting by leveraging historical data various features. This review provides an overview of prediction delay in flights using machine techniques. The highlights importance quality achieving accurate predictions. Comprehensive reliable datasets, encompassing factors such data, weather conditions, airport congestion, aircraft information, are essential robust models. Effective feature engineering another aspect, it enables capturing relevant indicators departure/arrival time, airline, airport, previous delays, holidays