Understanding the components
You'll apply PCA to the numeric features of the Pokemon dataset, poke_df, using a pipeline to combine the feature scaling and PCA in one go. You'll then interpret the meanings of the first two components.
All relevant packages and classes have been pre-loaded for you (Pipeline(), StandardScaler(), PCA()).
Deze oefening maakt deel uit van de cursus
Dimensionality Reduction in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Build the pipeline
pipe = Pipeline([('scaler', ____),
('reducer', ____(____))])