Supervised learning and unsupervised in R, with a focus on regression and classification methods.
bootstrap clustering cross-validation lasso model-selection splines logistic-regression knn principal-components quadratic-discriminant-analysis linear-discriminant-analysis boosting generalized-additive-models random-forests ridge regularization-methods tree-based-methods support-vector-machnes
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Updated
Oct 16, 2020 - R