University of Twente Student Theses
Creating accurate valuation models for real estate properties
M Sri Rangan, W. (2023) Creating accurate valuation models for real estate properties.
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| Abstract: | Housing is a necessity for society to function both economically and socially. Knowing the accurate value of a property is a major asset for both buyers and sellers. Buyers will be able to distinguish between good and bad deals and also be able to negotiate the price of a property during a transaction. Similarly, the seller will be able to know the exact market value of their home before listing it for sale. Automated valuation models are computer programs that make use of real estate property information to predict the value for a property. The use of automated valuation models serves as a tool for both buyers and sellers to appraise property. In this research, I will be evaluating different machine learning models as well as exploring the impact of property features in predicting real estate property prices. This research will be using a data set which includes a wide list of selling prices and a list of features for real estate properties in Cyprus. This study seeks to identify the machine learning approach that yields the most accurate feature-based prediction models, with a strong emphasis on data pre-processing. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science, 83 economics |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/94361 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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