Behavioral Data Analysis with R and Python - Buisson, Florent
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Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis.

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Produktbeschreibung
Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis.
Autorenporträt
Florent Buisson is a behavioral economist with 10 years of experience in business, analytics, and behavioral science. He most recently started and led for four years the behavioral science team of Allstate Insurance Company. Florent has published academic articles in journals such as the peer-reviewed Journal of Real Estate Research. He holds a Master's degree in econometrics as well as a Ph.D. in behavioral economics from the Sorbonne University in Paris.