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)
Machine learning is widely used in real estate valuation to predict the price of house with high accuracy. Real estate valuation is a decision model in which number of attributes such as structural attributes and locational attributes are taken to predict the house price. The fluctuation of prices in real estate market are always a concern for both the land buyers and seller. So, literature survey has been done to analyse the most efficient attributes and models to predict the accurate house price. In the analysing process there are many types of models to predict the house price like hedonic price model, multiple liner regression, artificial neural network, support vector regression, XG boost etc… This study will help the future researches and housing agents to select the most significant machine learning model for accurate prediction of house pricing.
"Systematic Study Of Real Estate Valuation Using A Machine Learning Model", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 2, page no.a442-a448, February-2023, Available :http://www.ijnrd.org/papers/IJNRD2302055.pdf
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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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