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  3. Unsupervised Learning in Python

Exercise

NMF features of the Wikipedia articles

Now you will explore the NMF features you created in the previous exercise. A solution to the previous exercise has been pre-loaded, so the array nmf_features is available. Also available is a list titles giving the title of each Wikipedia article.

When investigating the features, notice that for both actors, the NMF feature 3 has by far the highest value. This means that both articles are reconstructed using mainly the 3rd NMF component. In the next video, you'll see why: NMF components represent topics (for instance, acting!).

Instructions

100 XP
  • Import pandas as pd.
  • Create a DataFrame df from nmf_features using pd.DataFrame(). Set the index to titles using index=titles.
  • Use the .loc[] accessor of df to select the row with title 'Anne Hathaway', and print the result. These are the NMF features for the article about the actress Anne Hathaway.
  • Repeat the last step for 'Denzel Washington' (another actor).