April 2018
Beginner to intermediate
500 pages
11h 26m
English
book
Hands-On Machine Learning on Google Cloud Platform
by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
Content preview from Hands-On Machine Learning on Google Cloud Platform
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Removing outliers
So far we have seen different techniques for identifying possible outliers. What should we do after identifying them? After identifying the values that are outliers in the column, you need to determine whether these values are valid or invalid for the dataset.
If these are invalid values due to an error in the population phase of the dataset, then we must correct them. This operation may involve the replacement of this value with a presumably valid one or the removal of the entire row. In this latter case, we must pay attention to the weight that this action can have on the whole dataset.
To replace the value 100, which seems to us an invalid value in all respects (maybe it was 10 and an extra zero was added), we can ...
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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.