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Flight Ticket Price Predictor Using Python

Vivekanand P. Thakare, Ankita Sanjay Murraya, Roshani Bandu Gawade, Mrunali Mukundrao Sawarkar, Trupti Khemraj Shende, Ujjwala Kamlesh Badole

Abstract


Boxer timing for airline ticket purchasing from the consumer’s perspective is challenging principally because buyers have insufficient information for reasoning about future price movements. In this project, we mainly directed to uncover underlying drifts of flight prices in India using historical data and also to advise the best time to buy a flight ticket. Remarkable, the trends of the price are highly sensitive to the route, month of departure, day of departure time of the day is a holiday and airline carrier. Highly competitive routes like most business routes hand a non-decreasing trend where prices increased as day to departure decreased.

 

Keywords: Feature selection, airfare price, prediction model, random forest, pricing models


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References


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