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Logistic Regression Behind the Scenes

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PyData DC 2016

Logistic Regression models are powerful tools in the data science toolkit; in this talk we will explore various implementations of logistic regression in Python and SAS, with a focus on output and performance. We will also discuss both the numerical and statistical implications (including Bayesian interpretations) of the various options.

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