Housing Demand Forecasting with Machine Learning Methods

Housing is a place where sustainable urban spaces are produced and people's physical, cultural, environmental, economic, social psychological needs evaluated together with their surroundings, rather than just building the need for shelter met. With acceleration of urbanization, new arise, first these housing. The housing sector has become one most dynamic continuous sectors associated increase in adequate accessible comes to forefront our country as well world. Understanding predicting key features determining prices value an important consideration planners policymakers. In this study, machine learning artificial neural network models were used predict demand Konya, forecasting performances compared. As result, it was concluded that ANN better alternative Konya.