Prediction of House Pricing Using Machine Learning with Python

11 Pages Posted: 17 Jun 2019

See all articles by Namit Jain

Namit Jain

Amity University

Parikshay Goel

Amity University

Purushottam Sharma

Amity University

Vikas Deep

Amity University

Date Written: March 15, 2019

Abstract

This is a study done for the purpose of knowledge among the people to understand and estimate the pricing of their houses. This will help them realize about the factors that affect the pricing of the house most and understand them. This prediction is done using 5 base algorithms and using simple stacking approach to compare the output of each algorithm and predict the best possible outcome.

Keywords: Machine Learning, Python, Prediction House Pricing, XGBoost, Stacking Algorithm

Suggested Citation

Jain, Namit and Goel, Parikshay and Sharma, Purushottam and Deep, Vikas, Prediction of House Pricing Using Machine Learning with Python (March 15, 2019). International Conference on Advances in Engineering Science Management & Technology (ICAESMT) - 2019, Uttaranchal University, Dehradun, India. Available at SSRN: https://ssrn.com/abstract=3403964 or http://dx.doi.org/10.2139/ssrn.3403964

Namit Jain (Contact Author)

Amity University ( email )

Parikshay Goel

Amity University ( email )

Purushottam Sharma

Amity University ( email )

Vikas Deep

Amity University ( email )

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