Creating a Machine Learning Model to Improve the Accuracy of Predicting Airline Ticket Prices

Abstract

Air travel serves as a pivotal mode of transportation for both domestic and international journeys, offering swift mobility. While it tends to be relatively costly compared to other transportation options, the price directly impacts our comfort and travel time. When demand exceeds capacity, airlines may adjust prices accordingly. Data pertaining to specific air routes, including constraints such as flight duration, arrival time, and available routes during a particular timeframe, has been collected to determine the baseline airfare.