Hotel Check-in Abandonment Forecasting Model predict if a guest would cancel a reservation, hotels could contact guests that most likely to cancel to confirm more efficiently and to resell the room to optimize revenues.

This repository contains a data science project focused on predicting hotel booking cancellations. Additionally, it includes a web application built with Streamlit for user interaction and visualization of the prediction results.

Hotel Booking Cancellation Project Using Excel - Data Analyst Project

Hotel booking cancellation prediction using Hotel Booking Demand Dataset with Logistic Regression, kNNs, Decision Tree, SVM and NN