Abstract
This paper provides an extensive statistical analysis of Moscow’s real estate market. The main feature of the work – representation of the main variables on the map of Moscow, which allows a better understanding of the situation on the market. Moreover, it provides a correlation and cluster analysis, which show the main drivers of the cost of an apartment and types of flats in Moscow. In the section of decreasing the dimensions, it is shown which main factors influence the cost of apartments in Moscow and which of them make the greatest contribution to the cost of apartments. In the last section, 4 price forecasting models were built, and it turned out that the “random forest” model has the best predictive ability in the Moscow real estate market.
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