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  3. Dimensionality Reduction in Python
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Exercise

PCA on a larger dataset

You'll now apply PCA on a somewhat larger ANSUR datasample with 13 dimensions, once again pre-loaded as ansur_df. The fitted model will be used in the next exercise. Since we are not using the principal components themselves there is no need to transform the data, instead, it is sufficient to fit pca to the data.

Instructions

100 XP
  • Create the scaler.
  • Standardize the data.
  • Create the PCA() instance.
  • Fit it to the standardized data.