Machine learning model to detect real estate investment opportunities in Barcelona
The real estate market in large cities experiences constant price fluctuations, driven by both macroeconomic variables and specific circumstances of sellers. These conditions make identifying properties priced lower than similar ones a challenge. This research developed a machine learning model to d...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Oberta de Catalunya (UOC) |
| Repositorio: | O2, repositorio institucional de la UOC |
| OAI Identifier: | oai:openaccess.uoc.edu:10609/152370 |
| Acceso en línea: | https://hdl.handle.net/10609/152370 |
| Access Level: | acceso abierto |
| Palabra clave: | real estate machine learning bienes raíces inversión aprendizaje automático Big data -- TFM Dades massives -- TFM |
| Sumario: | The real estate market in large cities experiences constant price fluctuations, driven by both macroeconomic variables and specific circumstances of sellers. These conditions make identifying properties priced lower than similar ones a challenge. This research developed a machine learning model to detect such opportunities in Barcelona. To achieve this objective, various machine learning models were evaluated and compared to identify the one that provided the most accurate price predictions, thereby facilitating the identification of opportunities for both investors and non-expert individuals seeking undervalued residential properties. Additionally, an interactive dashboard application was developed to visualize the main opportunities, with monthly updates. This approach not only facilitates decision making but also enables continuous monitoring of real estate market trends. |
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