This course introduces basic concepts and models of supervised and unsupervised statistical learning models . The topics include, multiple regression, logistic regression, classfication, resampling methods, subset selection, the ridge, the lasso, tree-based methods, support vector machines, principal component analysis, and clustering.
SU Credits : 3.000
ECTS Credit : 10.000
Prerequisite :
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Corequisite :
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