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      Using Linear Regression Machine Learning Algorithm for the Prediction of Real Estate

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            Abstract

            The Real Estate prediction model is a web-based Machine Learning project which uses the machine learning algorithm to determine the price of the house in the future. This project targets the people who are in search of a place for living with a suitable price and a living standard. To get better and accurate results we have used multiple algorithms and compared them. The findings have indicated that the use of various algorithms can drastically impact the accuracy of the prediction. And, having a poor dataset negatively impacts the prediction. Different factors like interest rates, housing inventory, absorption rates, rental to capitals and many more impact the price of the real estate. So, we would like to make a model which predicts the price precisely keeping these factors in mind.

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            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            30 May 2022
            Affiliations
            [1 ] Department of Computer Science and Engineering Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Bangalore, India
            Author notes
            Article
            10.14293/S2199-1006.1.SOR-.PP6RJWG.v1
            6c427b73-490b-45fd-bb58-0df47059440b

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .


            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Computer science

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