Skip to content

shivamPatwal/Predict-Airlines-Price

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 

Repository files navigation

predict_price

Introduction

We might have often heard travellers saying that flight ticket prices are so unpredictable. Huh! Here we take on the challenge. This is a data Science project which Predict the price of airlines with help of different machine learning algorithm

Features

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 A regression problem in which duration, source, destination, dates of flight and route are provided

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published