February 2019
Beginner to intermediate
382 pages
10h 1m
English
Content preview from Python Machine Learning By Example - Second Edition
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Exercises
- Do you think all of the top 500 word tokens contain valuable information? If not, can you impose another list of stop words?
- Can you use stemming instead of lemmatization to process the newsgroups data?
- Can you increase max_features in CountVectorizer from 500 to 5000 and see how the t-SNE visualization will be affected?
- Try visualizing documents from six topics (similar or dissimilar) and tweak parameters so that the formed clusters look reasonable.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.