The objective of this project was to use the Hotel Booking demand dataset, to explore and generate a predictive model to find the availability of the hotel and analyzing the best time to book a hotel room and the optimal duration of stay for the daily best rates, busiest months of respective hotels, origin of guests. These model was supervised under classification method.

Data Description:

The Hotel Booking Demand datasets consists of resort/city hotel booking details such as date of booking, duration of stay, number of adults, children, and the number of availabilities of parking and other necessities. All the personnel details was removed from the data during the modelling process.