House Price Prediction using Machine Learning Algorithm

Mrs.N.Vishnu Devi , Sundaresan B , Shiyam Sundar T J , Naveen S

House price prediction, Machine learning, Random forest algorithm

This research delves into the domain of house price prediction, employing the Random Forest algorithm within the framework of machine learning. Emphasizing crucial factors like location, amenities, and house type, the primary objective is to construct a robust model that effectively assists users in making informed decisions while selecting homes within their budget. The study systematically evaluates the Random Forest algorithm’s performance in providing accurate predictions for house prices, aiming to enhance the reliability and applicability of machine learning techniques in real estate decision-making.

Published Paper   E-Certificate

"House Price Prediction using Machine Learning Algorithm", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 4, page no.1371 - 1373, April-2024, Available :https://ijsdr.org/papers/IJSDR2404200.pdf

Volume 9 Issue 4, April-2024

Pages : 1371 - 1373

Paper Reg. ID: IJSDR_211015

Published Paper Id: IJSDR2404200

Downloads: 000347198

Research Area: Engineering

Country: Madurai, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2404200

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2404200

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition