This project aims to predict whether a customer will honor their hotel reservation or cancel it based on various booking attributes.
The data for this project is sourced from Hotel Reservations Classification Dataset on Kaggle.
The dataset contains various attributes related to hotel reservations, including:
- Booking details (ID, dates, lead time)
- Guest information (adults, children, repeat status)
- Stay information (weekend/weekday nights, meal plan, room type)
- Cancellation history
- Special requests
- Pricing information
- Download the dataset from Kaggle
- Place the
hotel_reservations.csvfile in thedatafolder in the root directory - Run the scripts as needed
data/: Contains the dataset filemain.py: Entry point for the application