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  3. Dimensionality Reduction in Python

Exercise

PCA for feature exploration

You'll use the PCA pipeline you've built in the previous exercise to visually explore how some categorical features relate to the variance in poke_df. These categorical features (Type & Legendary) can be found in a separate DataFrame poke_cat_df.

All relevant packages and classes have been pre-loaded for you (Pipeline(), StandardScaler(), PCA())

Instructions 1/4

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  • Fit and transform the pipeline to poke_df to extract the principal components.