House price prediction using machine learning algorithms

The residence rate forecasting is an important topic of real estate. The literature makes an effort to extract practical expertise from ancient actual estate market statistics. In order to find models that are helpful to home buyers and sellers, machine learning techniques are used to examine previo...

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Bibliographic Details
Main Authors: Gomathy, C. K., Geetha, V., Narayana, R. Venkata, Krishna, T. Vamsi
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Machine learning
Real estate
Online Access:Get full text
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Summary:The residence rate forecasting is an important topic of real estate. The literature makes an effort to extract practical expertise from ancient actual estate market statistics. In order to find models that are helpful to home buyers and sellers, machine learning techniques are used to examine previous real estate transactions. The significant gap between the most costly and most affordable home prices is made clear. Additionally, research shows that machine learning models based on on imply squared errors dimension are a aggressive approach that produce the maximum correct consequences.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0212559