Date of Award
MS in Science
Business Analytics and Information Systems
Ahmad F Vakil
This work will be focusing on the hotel industry and how to develop an efficient bookings management system. There are 119,390 observations and 32 variables provided by two distinct hotels, one located in a city and the other in a resort. Multiple machine learning and Python techniques will be used on a jupyter notebook Python file. This work is extremely useful since the recent pandemic (Covid-19) has greatly impacted the hotel industry. Reducing the number of canceled reservations system will possibly allow the organizations to gain a competitive advantage. However, the most adequate booking system for a hotel might not be for any other. Thus, being something that changes both demographically and seasonally.
Marques, Diogo, "AN INVESTIGATION OF HOTEL BOOKING CANCELLATION USING MACHINE LEARNING APPROACHES IN PYTHON" (2023). Theses and Dissertations. 656.