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All Journal International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR)
Dr. Menakshi Thalor
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Social Sciences

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The House Price Prediction using Machine Learning Kanade, Vaishnavi; Dr. Menakshi Thalor
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i1.290

Abstract

Machine Learning (ML) has profoundly impacted various domains, including speech recognition, healthcare, and automotive safety. Acknowledging its pervasive influence, our project aims to harness ML's capabilities for housing price prediction. In the volatile real estate market, prospective buyers strive to make informed decisions within budget constraints, often hindered by the absence of reliable future market trend forecasts. Our project's primary goal is to provide accurate house price predictions, mitigating potential financial losses. To achieve this, we are developing a housing cost prediction model employing ML algorithms such as Linear Regression, Decision Tree Regression, K-Means Regression, and Random Forest Regression. This model empowers individuals to invest in real estate without intermediaries. Our research highlights Random Forest Regression as the most accurate model, offering a promising avenue for confident real estate investment.
Co-Authors Kanade, Vaishnavi