Calculating Principal Components
You'll visually inspect a 4 feature sample of the ANSUR dataset before and after PCA using Seaborn's pairplot(). This will allow you to inspect the pairwise correlations between the features.
The data has been pre-loaded for you as ansur_df.
Diese Übung ist Teil des Kurses
Dimensionality Reduction in Python
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Create a pairplot to inspect ansur_df
sns.____(____)
plt.show()