This repository contains the code and results for using machine learning models to gains insights into customer hotel reservation prediction along with EDA.
Kaggle: Hotel Booking
Link: https://www.kaggle.com/datasets/mathsian/hotel-bookings/data
- Logistic Regression
- GNB (Gaussian Navie Bayes)
- Decision Tree
- Radom Forest
- KNN (K Nearst Neighbor)
The project is organized into the following files:
- Input:
hotel_bookings.csv
- dataset - In-between:
hotel_booking.ipynb
- data processinghotel_illus.pbix
- data illustrationmodel_results.csv
- Output:
Hotel Reservation - Machine Learning.pdf
- presentation