Cleaned flight records and airport information across multiple flight-related categories support price prediction tasks. The data includes flight-specific attributes and airport metadata formatted for machine learning model training.
Use Cases
- Train regression models to estimate ticket costs using the flight price data
- Enhance predictive accuracy by joining flight data with the provided airport information
- Build time-series forecasts for airline pricing using the cleaned flight records
Strengths
- Includes cleaned flight data records for price prediction
- Contains airport information to supplement flight-specific features
- Provided in a cleaned format ready for machine learning applications