Airline Flight Delay Prediction Using Machine Learning Algoritham

Flight delays significantly impact airline operations, leading to financial losses, inefficiencies, and passenger dissatisfaction. Predicting flight delays accurately can help airlines optimize scheduling and improve customer experience. This study explores machine learning algorithms for predicting airline flight delays based on historical data and key influencing factors such as weather conditions, air traffic, departure time, and airport congestion.