Real Estate Price Forecasting Based on Machine Learning Methods

Student: Svirchkov Dmitriy

Educational Programme: Applied Economics (Master)

Year of Graduation: 2017

Features of the functioning of the real estate market impose some specific restrictions on the construction of models, complicate the process of modeling. And the question arises, what do we want to receive and for what? The predicted value can become a reference point for individuals when deciding whether to purchase a particular real estate object. Construction and investment organizations in the planning stage of the characteristics of future development may be interested in predicting the value of objects with different assigned attributes. And this estimate will be more accurate the better the quality of the model, the closer the model captures the complexity of life.

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