Flight Fare Prediction Using Machine Learning

Abstract

Abstract—In recent years, more individuals are travelling for both business and pleasure as a result of recent improvements in air travel's affordability and accessibility. Many travellers are, however, deeply concerned about the unpredictable nature of airline costs, as they constantly and abruptly change. In this paper, we using machine learning algorithms. KNN, Random Forest, linear regression are examples of algorithms. Provide basic information such as airline, source, destination, and so on to forecast flight expenses.