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  3. Dimensionality Reduction in Python

Exercise

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.

Instructions 1/3

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  • 1
    • Use seaborn's sns.scatterplot to create the plot.
    • Color the points by 'Component'.
  • 2
    • Color the points of the scatterplot by 'Branch'.
  • 3
    • Color the points of the scatterplot by 'Gender'.