Machine Learning for Predicting Flight Ticket Prices

Airline companies have the freedom to change the flight ticket prices at any moment. Travellers can save money if they choose to buy a ticket when its price is the lowest. The problem is how to determine when is the best time to buy flight ticket for the desired destination and period. Airline companies use many different variables to determine the flight ticket prices: indicator whether the travel is during the holidays, the number of free seats in the plane etc. Some of the variables are observed, but some of them are hidden. The goal of this project is to use machine learning techniques to model the behavior of flight ticket prices over the time. In order to build and evaluate the model, you will use data that contains historical flight ticket prices for particular routes.