Advanced Analytics and Deep Learning Models

2Real Estate Price Prediction Using Machine Learning Algorithms

Palak Furia* and Anand Khandare^†

Department of Computer Engineering, Thakur College of Engineering and Technology, Mumbai, India

Abstract

For a long time since the very beginning, a continuous paradigm of selling and buying houses/land has continued to exist. The wealth of a man is often determined by the kind of house he/she buys, but this process had multiple people intermediate. However, with the increase in technology, this barter system has also changed a lot. With PropTech being the new upcoming thing to disrupt in the real estate market, using technology to complete the operations has made buying property very simple. It is seen as part of a digital transformation in the real estate industry, focuses on both the technological and psychological changes of the people involved, and could lead to new functions such as transparency, unprecedented data, statistical data, machine learning, blockchain, and sensors that are part of PropTech.

In India, there are number of websites, which collect the data for properties that are to sell, but there are cases where on different sites price vary for the same apartment, and as a result, there is a lot of obscurity [1, 2]. This project uses machine learning to predict house prices. One heuristic data commonly used in the analysis of housing price deficits is the Bangalore city suburban housing data. Recent analysis has found that prices in that database are highly dependent ...