TRAP@NCI

Real Estate Price Prediction Using Machine Learning

Ravikumar, Aswin Sivam (2017) Real Estate Price Prediction Using Machine Learning. Masters thesis, Dublin, National College of Ireland.

[img]
Preview
PDF (Master of Science)
Download (1MB) | Preview

Abstract

The below document presents the implementation of price prediction project for the real estate markets and housing. Many algorithms are used here to effectively increase the accuracy percentage, various researchers have done this project and implemented the algorithms like hedonic regression, artificial neural networks, AdaBoost, J48 tree which is considered as the best models in the price prediction. These are considered as the base models and by the help of advanced data mining tools algorithms like a random forest, gradient boosted trees, multi layer perceptron and ensemble learning models are used and prediction accuracy is attained in a higher rate. The results and evaluation of these models using the machine learning and advanced data mining tools like Weka, Rapid Miner will have the more influence in the price prediction.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

H Social Sciences > HD Industries. Land use. Labor > Housing
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 28 Aug 2018 14:36
Last Modified: 28 Aug 2018 14:36
URI: http://trap.ncirl.ie/id/eprint/3096

Actions (login required)

View Item View Item