Statistics: Feature selection

How to choose useful variables. Speaker: Barton Poulson.

By Datalabcc
Published May, 2017

Learning materials

External links

Description

Goals of feature selection. Dealing with multi-collinearity, i.e. overlaps between predictors and model. P-values. Standardized regression coefficients. Stepwise procedures. Commonality analysis. Dominance analysis. Relative importance weights. 

Prerequisites

None.