- Aim: Flight ticket prices can be something hard to guess. we have been provided with prices of flight tickets for various airlines between March and June of 2019 and between multiple cities, using which we aim to build a model which predicts the prices of the flights using multiple input features.
- Gathered data from Kaggle.
- Worked on data preprocessing, feature selection, and machine learning models.
- Improved accuracy up to 82% using hyperparameter tuning and ensemble models