Statistics: Feature Selection
Statistics: Feature Selection
In this lesson, you will learn the concepts behind choosing useful variables, as well as various analyses and tools to do so.
Topics covered in this lesson
- 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
External Links
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