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
Recommended Citation
Hoxha, Visar; Berisha, Lorana; and Hoxha, Jehona, "Prediction of Housing Prices Using Machine Learning Algorithms" (2023). UBT International Conference. 35.
https://knowledgecenter.ubt-uni.net/conference/IC/MBE/35
Included in
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.