Machine learning for real estate and housing markets

Abstract

The principal aim of the research is to (1) identify necessary data required for building machine learning models, (2) develop machine learning models that forecast property markets (residential), (3) determine the robustness of the initial models, and (4) scope the opportunities and limitations in using this machine learning approach in real estate.