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House Price Prediction Review

by Smit Chatwani, Mayank Chotaliya, Vinaya Sawant
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 7
Year of Publication: 2022
Authors: Smit Chatwani, Mayank Chotaliya, Vinaya Sawant
10.5120/ijca2022922043

Smit Chatwani, Mayank Chotaliya, Vinaya Sawant . House Price Prediction Review. International Journal of Computer Applications. 184, 7 ( Apr 2022), 35-39. DOI=10.5120/ijca2022922043

@article{ 10.5120/ijca2022922043,
author = { Smit Chatwani, Mayank Chotaliya, Vinaya Sawant },
title = { House Price Prediction Review },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2022 },
volume = { 184 },
number = { 7 },
month = { Apr },
year = { 2022 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number7/32343-2022922043/ },
doi = { 10.5120/ijca2022922043 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:20:53.391660+05:30
%A Smit Chatwani
%A Mayank Chotaliya
%A Vinaya Sawant
%T House Price Prediction Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 7
%P 35-39
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The property market is among the most price-sensitive in the world, and it is constantly shifting. It is one of the most essential topics where machine learning techniques could be used to predict better and accurately. Physical conditions, concepts, and location are the three variables that impact the price of a home. The existing approach includes evaluating house values without considering market pricing or cost inflation. Future prices will be reduced by analyzing past market patterns and value ranges, as well as future improvements. This paper includes the study of various prediction models.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Real Estate Management Price Prediction.

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