论文标题
开发房地产收益投资设备，通过颗粒数据和机器学习
Developing a real estate yield investment deviceusing granular data and machine learning
论文作者
论文摘要
该项目旨在创建一种投资设备，以帮助投资者确定哪些房地产单位在马德里的投资回报率更高。为此，我们收集了一部房地产网页，从西班牙，意大利和葡萄牙各地拥有数百万个房地产单元，从Meofalasta.com那里收集数据。在此初步版本中，我们介绍了有关如何收集数据的路线图；收集的8,121个房地产单位的描述性统计（租赁和出售）；根据租金和销售单位价格（每个社区和规模）的价格差异建立回报指数，并为租赁房地产价格预测引入机器学习算法。
This project aims at creating an investment device to help investors determine which real estate units have a higher return to investment in Madrid. To do so, we gather data from Idealista.com, a real estate web-page with millions of real estate units across Spain, Italy and Portugal. In this preliminary version, we present the road map on how we gather the data; descriptive statistics of the 8,121 real estate units gathered (rental and sale); build a return index based on the difference in prices of rental and sale units(per neighbourhood and size) and introduce machine learning algorithms for rental real estate price prediction.
