Skip to content

A flight fare prediction machine learning model is designed to predict the price of a flight ticket based on various factors such as the flight route, airline, date of booking, and other relevant features. This model can be used to help travelers plan and budget their trips more effectively by providing an accurate estimate of the cost of flights.

Notifications You must be signed in to change notification settings

shraddha102002/Flight-Fare-Prediction

Repository files navigation

Flight-Fare-Prediction

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. As data scientists, we are gonna prove that given the right data anything can be predicted. Here you will be provided with prices of flight tickets for various airlines between various cities.

Overview of the dataset-

The Airline Flight Fare. Prediction project is to predict airline flight fares across the Indian cities. The dataset for the project was provided by the company itself, and it is a time-stamped dataset so, while building the model, extensive pre-processing was done on the dataset especially on the date-time columns to finally come up with a ML model which could effectively predict airline fares across various Indian Cities. The dataset had many features which had to pre-processed and transformed into new parameters for a cleaner and simple web application layout to predict the fares.

About

A flight fare prediction machine learning model is designed to predict the price of a flight ticket based on various factors such as the flight route, airline, date of booking, and other relevant features. This model can be used to help travelers plan and budget their trips more effectively by providing an accurate estimate of the cost of flights.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published