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Mastering Machine Learning with Spark 2.x

You're reading from   Mastering Machine Learning with Spark 2.x Harness the potential of machine learning, through spark

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781785283451
Length 340 pages
Edition 1st Edition
Languages
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Authors (3):
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Alex Tellez Alex Tellez
Author Profile Icon Alex Tellez
Alex Tellez
Michal Malohlava Michal Malohlava
Author Profile Icon Michal Malohlava
Michal Malohlava
Max Pumperla Max Pumperla
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Max Pumperla
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Toc

Exploration – data analysis

Now, it is time to explore the data. There are many questions that we can ask, such as the following:

  • What target features would we like to model supporting our goals?
  • What are the useful training features for each target feature?
  • Which features are not good for modeling since they leak information about target features (see the previous section)?
  • Which features are not useful (for example, constant features, or features containing lot of missing values)?
  • How to clean up data? What to do with missing values? Can we engineer new features?

Basic clean up

During data exploration, we will execute basic data clean up. In our case, we can utilize the power of booth tools together: we use the...

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