Hotel Price Prediction With Data Analysis & Machine Learning

Harikrishna Patel18 Apr, 2023Technology

The purpose of this research is to understand the potential of traditional and non-traditional statistical techniques to predict dynamic hotel room prices. Four forecast models were employed: Linear Regression, the Random forest, the Extreme Gradient Boosting(XG boost), is a scalable, distributed gradient-boosted decision tree (GBDT), and the Decision tree. This research is based on an empirical study of data obtained from the Choice Property Management System(PMS)for the property named “Comfort Inn & Suites” for the year 2021,2022.