INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Accurately predicting housing prices is integral to real estate investment and decision-making processes. This paper conducts a thorough investigation into the application of machine learning models for precise house price estimation. Our primary aim is to develop robust predictive models beneficial to industry experts and individuals seeking property valuation. The research initiates by assembling a well-structured dataset, incorporating diverse features such as property characteristics, location attributes, and economic indicators. Leveraging this dataset, a comprehensive exploration of machine learning algorithms, spanning regression techniques, ensemble methods, and deep learning models, is conducted. Each model undergoes rigorous pre processing, feature engineering, and hyperparameter tuning to optimize its predictive performance. Our evaluation encompasses an array of comprehensive metrics, including mean squared error, root mean squared error, mean absolute error, and R-squared, to assess the models' predictive capabilities. The outcomes underscore the effectiveness of the proposed models in capturing intricate data relationships and delivering highly accurate price estimations.
Keywords:
Ensemble Algorithms, Gradient Boosting Regressor, XG Boost Regressor, Random forest.
Cite Article:
"HOUSING PROGNOSIS USING MACHINE LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 1, page no.c775-c780, January-2024, Available :http://www.ijnrd.org/papers/IJNRD2401299.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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