January 2019
Intermediate to advanced
378 pages
8h 27m
English
book
Python Machine Learning Blueprints - Second Edition
by Alexander Combs, Saurabh Chhajed, Michael Roman
Content preview from Python Machine Learning Blueprints - Second Edition
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Inspection
Once you have acquired your data, the next step is to inspect it. The primary goal at this stage is to sanity check the data, and the best way to accomplish this is to look for things that are either impossible or highly unlikely. As an example, if the data has a unique identifier, check to see that there is indeed only one; if the data is price-based, check that it is always positive; and whatever the data type, check the most extreme cases. Do they make sense? A good practice is to run some simple statistical tests on the data, and visualize it. The outcome of your models is only as good as the data you put in, so it is crucial to get this step right.
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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.