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  3. Dimensionality Reduction in Python

Exercise

Fitting t-SNE to the ANSUR data

t-SNE is a great technique for visual exploration of high dimensional datasets. In this exercise, you'll apply it to the ANSUR dataset. You'll remove non-numeric columns from the pre-loaded dataset df and fit TSNE to this numeric dataset.

Instructions

100 XP
  • Drop the non-numeric columns from the dataset.
  • Create a TSNE model with learning rate 50.
  • Fit and transform the model on the numeric dataset.