Predicting owner-occupied housing values using machine learning: an empirical investigation of California census tracts data
作者： Prodosh E. Simlai
DOI: 10.1080/09599916.2021.1890187
关键词: Key (cryptography) 、 Econometrics 、 Real estate 、 Census 、 Computer science
摘要: In this paper, we introduce machine-learning (ML) methods to evaluate one of the key concepts real estate analysis – prediction housing prices in presence a large number covaria...
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