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Exercise

Dimension reduction of the fish measurements

In a previous exercise, you saw that 2 was a reasonable choice for the "intrinsic dimension" of the fish measurements. Now use PCA for dimensionality reduction of the fish measurements, retaining only the 2 most important components.

The fish measurements have already been scaled for you, and are available as scaled_samples.

Instructions

100 XP
  • Import PCA from sklearn.decomposition.
  • Create a PCA instance called pca with n_components=2.
  • Use the .fit() method of pca to fit it to the scaled fish measurements scaled_samples.
  • Use the .transform() method of pca to transform the scaled_samples. Assign the result to pca_features.