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