The video tutorial introduces logistic regression as a classification method, explaining its motivation and how it differs from linear regression. It covers examples of classification problems, the limitations of linear regression for categorical data, and the mathematical formulation of logistic regression using the sigmoid function. The tutorial also discusses fitting the model using maximum likelihood estimation and extends the concept to multinomial logistic regression for multiple classes.

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