Flight Price Prediction

Project Discription

Airline: The airline company operating the flight. Prices may vary based on the airline due to factors like service quality, demand, and reputation. Source: The city from which the flight departs. Flight prices can depend on the source city’s airport taxes, demand, and cost of living. Destination: The city where the flight lands. Similar to the source, the destination can affect prices based on its airport taxes, demand, and cost of living. Route: The path taken by the flight. Some routes are more expensive due to longer distances or higher operational costs. Dep_Time: The departure time of the flight. Flights at certain times (like early morning or late night) may be cheaper. Duration: The total duration of the flight. Longer flights may be more expensive due to higher fuel and operational costs. Total_Stops: The number of stops in the flight. Non-stop flights are usually more expensive than flights with one or more stops. Additional_Info: Any additional information about the flight. This could include details like in-flight amenities, which might affect the ticket price. Price: The price of the flight ticket. This is usually the target variable that the model will predict. Date, Month, Year: The date, month, and year of the flight. Prices can vary based on the season, day of the week, and proximity to holidays.

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