Session

Management, Business and Economics

Description

In the evolving landscape of real estate valuation, the integration of machine learning (ML) algorithms has emerged as a transformative approach. This literature review delves into the application of various ML techniques in predicting property prices, comparing their efficacy with traditional methods. Drawing from global research, the study underscores the potential of ML in enhancing accuracy, adaptability, and objectivity in property valuation.

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-95-6

Location

UBT Lipjan, Kosovo

Start Date

28-10-2023 8:00 AM

End Date

29-10-2023 6:00 PM

DOI

10.33107/ubt-ic.2023.180

Included in

Business Commons

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Oct 28th, 8:00 AM Oct 29th, 6:00 PM

Prediction of Housing Prices Using Machine Learning Algorithms

UBT Lipjan, Kosovo

In the evolving landscape of real estate valuation, the integration of machine learning (ML) algorithms has emerged as a transformative approach. This literature review delves into the application of various ML techniques in predicting property prices, comparing their efficacy with traditional methods. Drawing from global research, the study underscores the potential of ML in enhancing accuracy, adaptability, and objectivity in property valuation.