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.
This exercise is part of the course
Dimensionality Reduction in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Color the points according to Army Component
sns.____(x="x", y="y", hue=____, data=df)
# Show the plot
plt.show()