  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.
