Booking Cancellations
First place at DataQuest. We trained a hotel-booking cancellation model, ranked feature importance, and turned the drivers into business recommendations instead of stopping at a leaderboard score.
Contributions
- Preprocessed booking data and compared models (including logistic regression and trees).
- Used feature importance to write concrete recommendations for cutting cancel rates.
Outcomes
- First place at DataQuest.
