Selecting the proportion of variance to keep

You'll let PCA determine the number of components to calculate based on an explained variance threshold that you decide.

You'll work on the numeric ANSUR female dataset pre-loaded as ansur_df.

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

Deze oefening maakt deel uit van de cursus

Dimensionality Reduction in Python

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Pipe a scaler to PCA selecting 80% of the variance
pipe = ____([('scaler', ____),
        		 ('reducer', ____)])