Search results
This project showcases a machine learning model developed to predict flight prices based on various features such as airline, source and destination cities, departure and arrival times, travel class, duration, and more.
Refresh. Predict Fllight Price, practise feature engineering, implement ensemble models.
AirHint tracker and predictor recommends the best time to buy airline tickets. We track and analyze airfares, predicts plane ticket price changes and offers the best airfares for Ryanair, easyJet, Southwest and other airlines. Find the best time to book international and domestic flights.
Predicting these prices is not only useful for travelers but also for airlines, travel agencies, and researchers. This repository provides a comprehensive solution to this problem, leveraging machine learning techniques and the Kaggle flight price dataset.
We track and compare millions of flights to offer the best experience and the best predictions along with the price related hints and price drop alerts. As more travellers get onboard, the predictive models learn and offer improved results with your next flight search.
AirHint flight price predictor. Contribute to akuzminskyi/AirHint-Predictor development by creating an account on GitHub.
Explore and run machine learning code with Kaggle Notebooks | Using data from Flight Price Prediction
