The set focuses on applied and computational statistics, ANOVA, multivariate models like multiple regression, model selection, reduction techniques, regularization methods like lasso, ridge, logistic regression, K-nearest neighbors, support vector classifiers, nonlinear models, tree-based methods, clustering and principal component analysis.
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