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  3. Feature Engineering in R

Exercise

Prepping the stage

You are going to explore the attrition_num dataset from the point of view of PCA to understand if it is feasible to reduce dimensionality while preserving most information. Start by creating a recipe that filters our near-zero variance features, normalizes the data, and implements PCA.

The attrition_num dataset is already loaded for you.

Instructions

100 XP
  • Remove possible near-zero variance features.
  • Normalize all numeric data.
  • Apply PCA.
  • Access the names of the output elements by preparing the recipe.