Recommendation of Price on Airbnb using Machine Learning

Abstract

Airbnb’s rental property prices are challenging because they determine how many customers there are. Customers, on the other hand, need to evaluate the offer price with minimal knowledge of the optimal value of the accommodation. This white paper aims to develop a reliable pricing model that uses machine learning and natural language processing techniques to assess prices by providing minimum available information about prices for both real estate owners and customers. Attributes, rooms, and bed features made up the predictors and created the prediction model using a variety of methods, from linear regression to root mean square error evaluation was used for creating the prediction model.