Airline ticket pricing is a complex and dynamic process that involves several factors such as demand, competition, fuel prices, seasonality, and many other variables. Predicting airline ticket prices accurately is a critical challenge in the aviation industry. This research paper presents a machine learning-based approach to predict airline ticket prices. We used historical data of airline ticket prices and other relevant features to train and evaluate several machine learning models.
