Hotel Booking Reservation

This dataset contains detailed information about hotel bookings, including reservation dates, customer demographics, stay duration, deposit types, cancellation status, and other booking-related attributes. It is an updated and cleaned version of the original UCI “Hotel Booking Demand” dataset, prepared for machine learning and data analytics tasks. The dataset is suitable for classification, regression, and clustering projects such as: Predicting booking cancellations Forecasting demand and occupancy Understanding guest behavior and stay patterns Analyzing customer segmentation Data Summary Instances: 119,390 Attributes: 33 Features (Inputs): 32 Target Variable: is_canceled Missing Values: Yes (some in children, agent, company) File Type: CSV (21.28 MB) Use Cases Machine learning classification (predicting cancellations) Regression (predicting ADR or lead time) Clustering (customer segmentation) Time-series analysis (seasonal trends) Business intelligence dashboards