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

undefined XP

1
2
3
4

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