Real Estate Market Price Prediction Model of Istanbul
The Turkish Housing Market has experienced a steep increase in prices. Individual and corporate investors now possess tools to estimate the real estate evaluation while using smaller amounts of data with traditional techniques. Not having an analytical approach to evaluate the price of real estate c...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Sciendo
2022-12-01
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Series: | Real Estate Management and Valuation |
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Online Access: | https://doi.org/10.2478/remav-2022-0025 |
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author | Tekin Mert Sari Irem Ucal |
author_facet | Tekin Mert Sari Irem Ucal |
author_sort | Tekin Mert |
collection | DOAJ |
description | The Turkish Housing Market has experienced a steep increase in prices. Individual and corporate investors now possess tools to estimate the real estate evaluation while using smaller amounts of data with traditional techniques. Not having an analytical approach to evaluate the price of real estate could cause the investor to lose considerable amounts of money, especially in the case of individual investors. This study aims to determine how different machine learning algorithms with real market data can improve this process. |
first_indexed | 2024-04-10T21:29:15Z |
format | Article |
id | doaj.art-2c4bcb86d85b43a9a64b1d62b30f310a |
institution | Directory Open Access Journal |
issn | 2300-5289 |
language | English |
last_indexed | 2024-04-10T21:29:15Z |
publishDate | 2022-12-01 |
publisher | Sciendo |
record_format | Article |
series | Real Estate Management and Valuation |
spelling | doaj.art-2c4bcb86d85b43a9a64b1d62b30f310a2023-01-19T13:51:14ZengSciendoReal Estate Management and Valuation2300-52892022-12-0130411610.2478/remav-2022-0025Real Estate Market Price Prediction Model of IstanbulTekin Mert0Sari Irem Ucal1Business Analytics, University of Warwick, United KingdomDepartment of Industrial Engineering, Istanbul Technical University, TurkeyThe Turkish Housing Market has experienced a steep increase in prices. Individual and corporate investors now possess tools to estimate the real estate evaluation while using smaller amounts of data with traditional techniques. Not having an analytical approach to evaluate the price of real estate could cause the investor to lose considerable amounts of money, especially in the case of individual investors. This study aims to determine how different machine learning algorithms with real market data can improve this process.https://doi.org/10.2478/remav-2022-0025price predictionmachine learningreal estate marketr30r31 |
spellingShingle | Tekin Mert Sari Irem Ucal Real Estate Market Price Prediction Model of Istanbul Real Estate Management and Valuation price prediction machine learning real estate market r30 r31 |
title | Real Estate Market Price Prediction Model of Istanbul |
title_full | Real Estate Market Price Prediction Model of Istanbul |
title_fullStr | Real Estate Market Price Prediction Model of Istanbul |
title_full_unstemmed | Real Estate Market Price Prediction Model of Istanbul |
title_short | Real Estate Market Price Prediction Model of Istanbul |
title_sort | real estate market price prediction model of istanbul |
topic | price prediction machine learning real estate market r30 r31 |
url | https://doi.org/10.2478/remav-2022-0025 |
work_keys_str_mv | AT tekinmert realestatemarketpricepredictionmodelofistanbul AT sariiremucal realestatemarketpricepredictionmodelofistanbul |