Details

This project aims to analyze and understand the level of guest satisfaction in European hotels. Using data analysis techniques, we will explore factors that influence guest satisfaction, such as hotel location, available facilities, room prices, and service quality. The data used in this project includes a variety of variables, such as guest reviews, hotel ratings, number of amenities available, and guest demographic information.

Through in-depth analysis, the main aim of the project is to identify possible patterns and trends behind guest satisfaction in European hotels. We will use machine learning and statistical techniques to build a model that can predict guest satisfaction levels based on various relevant variables. In addition, we will also provide valuable insights for hotel owners and managers who want to improve the quality of their services and optimize the guest experience.

This project has the potential to provide valuable insights to the hospitality industry, helping them better understand guest needs and preferences, and increasing customer satisfaction and loyalty. Thus, this project has a significant potential impact in improving the quality of service and customer experience in hotels in Europe.