Visually detecting redundant features
Data visualization is a crucial step in any data exploration. Let's use Seaborn to explore some samples of the US Army ANSUR body measurement dataset.
Two data samples have been pre-loaded as ansur_df_1 and ansur_df_2.
Seaborn has been imported as sns.
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.
# Create a pairplot and color the points using the 'Gender' feature
sns.____(____, ____=_____, diag_kind='hist')
# Show the plot
plt.show()