t-SNE visualisation of dimensionality
Time to look at the results of your hard work. In this exercise, you will visualize the output of t-SNE dimensionality reduction on the combined male and female Ansur dataset.
You'll create 3 scatterplots of the 2 t-SNE features ('x' and 'y') which were added to the dataset df. In each scatterplot you'll color the points according to a different categorical variable.
seaborn has already been imported as sns and matplotlib.pyplot as plt.
Bu egzersiz
Dimensionality Reduction in Python
kursunun bir parçasıdırUygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# Color the points according to Army Component
sns.____(x="x", y="y", hue=____, data=df)
# Show the plot
plt.show()