I'm feeling pretty confident about this one. The data scientist needs to remove the stopwords from the blog post data, but keep the rare words that are relevant. Option D, using the Count Vectorizer function, seems like the most straightforward way to do that. I'll double-check the other options, but I think that's the way to go.
This seems like a straightforward question about identifying the right approach to highlight the required changes. I think I'll start by describing the current state and then explore how to model the new organizational structure.
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