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()).

Latihan ini adalah bagian dari kursus

Dimensionality Reduction in Python

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

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