Flight ticket prices can be something hard to guess, today we might see a price, check out the price of the same flight tomorrow, it will be a different story. We might have often heard travellers saying that flight ticket prices are so unpredictable.Here I take on the challenge!. Here the Dataset has flight tickets for various airlines between the months of March and June of 2019 and between various cities and we have to predict the prices of Flights with the help of some features.
Size of training set with labels : 10683 records Size of test set without labels: 2671 records
Airline: The name of the airline.
Date_of_Journey: The date of the journey
Source: The source from which the service begins.
Destination: The destination where the service ends.
Route: The route taken by the flight to reach the destination.
Dep_Time: The time when the journey starts from the source.
Arrival_Time: Time of arrival at the destination.
Duration: Total duration of the flight.
Total_Stops: Total stops between the source and destination.
Additional_Info: Additional information about the flight
Price: The price of the ticket