Learn about geographically weighted models in Python using Airbnb data in Berlin residential districts (2018) /

This dataset teaches readers how to estimate and interpret a geographically weighted regression in Python. This dataset contains data related to nightly Airbnb prices in Berlin, Germany. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Python.

Bibliographic Details
Main Author:	Wolf, Levi John (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	Airbnb (Firm) > Statistics. Airbnb (Firm) Geography > Mathematical models. Regression analysis. Python (Computer program language) > Handbooks, manuals, etc. Hospitality industry > Germany > Berlin > Statistics. Rental housing > Germany > Berlin > Statistics. Regression Analysis Géographie > Modèles mathématiques. Analyse de régression. Python (Langage de programmation) > Guides, manuels, etc. Accueil (Tourisme) > Allemagne > Berlin > Statistiques. Logement locatif > Allemagne > Berlin > Statistiques. Geography > Mathematical models Hospitality industry Python (Computer program language) Regression analysis Rental housing Germany > Berlin Handbooks and manuals Statistics
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Call Number	Status	Get It
Call Number:		G70.23 .W65 2019

G70.23 .W65 2019	Available