August 2017
Beginner to intermediate
340 pages
8h 42m
English
Content preview from Mastering Machine Learning with Spark 2.x
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Data unification
This exploratory analysis gives us an overview about shape of the data and the actions which we need to perform to deal with missing values. However, we still need to transform the data into a form expected by Spark algorithms. That includes:
- Handling missing values
- Handling categorical values
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