Advanced modeling of housing locations in the city of Tehran using machine learning and data mining techniques.

This research delves into the intricate dynamics of housing location in the bustling metropolis of Tehran. It aims to gain a deeper understanding of the factors influencing housing prices across the city. Employing a descriptive-analytical method, the study utilizes the Python programming language a...

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Publicado en:	Humanities & Social Sciences Communications Vol. 11; no. 1; pp. 1 - 14
Autores principales:	Pilehvar, Ali Asghar, Ghasemi, Arian
Formato:	Artículo
Publicado:	Springer Nature 6/21/2024
Materias:	Homesites Machine learning Python programming language Data mining Home prices Inverse relationships (Mathematics) Suburbs Tehran (Iran)
Acceso en línea:	Ver este registro en EBSCOhost