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()).

Bu egzersiz, kursun bir parçasıdır

Dimensionality Reduction in Python

Bu egzersizi bu örnek kodu tamamlayarak deneyin.

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