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We start by importing a dataset and cleaning it up, then perform regressio. Logistic regression is a traditional statistics technique that also very popular as machine learning tool. In this statquest, i go over the main ideas s.
This video follows from where we left off in part 1 series on the details of logistic regression. The concepts behind linear regression, fitting a line to data with least squares and rsquared, are pretty darn simple, so let's get down it. If you hang out around statisticians long enough, sooner or later someone is going to mumble "maximum likelihood" and everyone will knowingly nod.
When you do logistic regression have to make sense of the coefficients. Time we're going to talk about how squiggl. These are based on log(odds) and log(odds ratio), but, be honest, easi.
Https//wwwedurekaco/datasciencerprogrammingcertificationcourse this edureka video on linear regression vs l. This video describes how to do logistic regression in r, stepbystep.