Feature Engineering Capstone

This project predicts hotel booking cancellations using the Hotel Bookings dataset. The goal is to show that feature engineering and preprocessing improve model performance.

raw.githubusercontent.com/swapnilsaurav/Dataset/refs/heads/master/hotel_bookings.csv

Hotel Bookings dataset - 119,380 rows, 33 columns Target: is_canceled (binary classification)

1. Open FeatureEngineering_Capstone.ipynb in Google Colab
2. Runtime > Restart and Run All
3. No local setup needed, dataset loads from URL automatically

See requirements.txt

• FeatureEngineering_Capstone.ipynb - main notebook
• src/helpers.py - reusable feature construction functions
• report/ - contains Report PDF
• requirements.txt - dependencies