Tag Multiple regression

regularization regularization

An epic dance

Multiple regression regularization (shrinkage) techniques can be very useful to address collinearity or overfitting problems. In addition, they can be used to select the independent variables and reduce multidimensionality, achieving more robust and easy-to-interpret models. Ridge, lasso and elastic network regression techniques are described.
Análisis multivariante

Exoteric or esoteric?

Multivariate analysis. Multivariate analysis is the set of statistical procedures that simultaneously study various characteristics of the same subject or entity, in order to analyze the interrelation that may exist among all the random variables that these characteristics represent. The…

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