Project information

• Category: Machine Learning and Forecasting
• Client: EaseMyTrip
• Project date: 27 September, 2024
• Database: None
• Visualization: Python 3.11
• Other Tool(s): Visual Studio Code
• Project URL: Link
• Project Report: Link

The project develops a flight fare prediction system using machine learning algorithms, analyzing features impacting fare prices. It preprocesses flight datasets, implements models, and uses SHAP for model interpretability, benefiting consumers and airlines.