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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM39973

HOUSE PRICE PREDICTION USING ML: A Review

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM39973

Volume:

8 |

12 |

Dec 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM39973

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PKM

Poornima K M

SUH

Sharan U Hiremath

SKU

Shreya K U

TH

Tejaswini H

VNS

Vidya N S

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Abstract

In today’s society, everyone wants a home that fits their lifestyle and budget while still providing the facilities they require. House values fluctuate a great deal, indicating that they are typically overstated. Many criteria must be considered when projecting house prices, including the location, number of rooms, carpet area, age of the property, and other fundamental local features. This study seeks to forecast house prices based on all of the main factors that go into deciding the price.

KEYWORDS

Machine learning Supervised learning linear regression model Ridge regression

Cite This Article

Poornima K M, Sharan U Hiremath, Shreya K U, Tejaswini H, Vidya N S, "HOUSE PRICE PREDICTION USING ML: A Review," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 12, Dec 2024. https://doi.org/10.55041/IJSREM39973

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Publication Date

12/21/2024

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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