Statistical Learning by Stanford Online Lagunita

In this supervised introductory tutorial, you will learn about regression and classification techniques. This course covers topics such as linear, polynomial, and logistic regression and linear discriminant analysis, cross-validation and bootstrapping, model selection and fitting techniques, nonlinear models, and support vector machines.

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