International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Predicting House Price with Deep Learning: A Comparative Study of Machine Learning Models

Author(s) Sweta R. Kumar, Swati Bhatt, Hasan Phudinawala
Country India
Abstract In the real estate market, one of the most important tasks is to accurately predict house prices, as this information can assist buyers and sellers in making more educated decisions about the value of their respective properties. In this investigation, we investigate the application of deep learning (DL) strategies for forecasting housing prices and evaluate how well these strategies perform in comparison to more conventional machine learning approaches.
Keywords House Price, Machine Learning, Deep Learning, Bayesian Optimization
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 5, Issue 2, March-April 2023
Published On 2023-03-21
DOI https://doi.org/10.36948/ijfmr.2023.v05i02.1849

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