Samuelsamraj/Flight_Price_prediction

This repository provides an end-to-end solution for predicting flight ticket prices. It includes data collection, exploratory data analysis (EDA), data preprocessing, and model selection. The chosen model, XGBoost, achieves an RMSE score of 12.5, demonstrating accurate price predictions.

Jupyter Notebook