Discover Factors Which Have Effects on Airbnb’s Stakeholders by Using Python

Abstract

This report is aimed at the analysis of Sydney’s Airbnb data to provide advice to related stakeholders. Data processing, feature engineering, and model building methods were utilized to realize that endeavour. A reliable dataset can only be formed when firstly using the data cleaning process. Linear regression, advanced non-parametric model, and model stacking are subsequently established to predict the price. According to the above analysis, insights and quantitative advice to Airbnb’s stakeholders are drawn.