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The Applied Data Science Workshop

You're reading from   The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800202504
Length 352 pages
Edition 2nd Edition
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Author (1):
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Alex Galea Alex Galea
Author Profile Icon Alex Galea
Alex Galea
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Summary

In this chapter, we focused on the steps that come before training machine learning models. We discussed how to plan a machine learning strategy and learned about various hands-on methods we can use to prepare a dataset for modeling.

Starting with a high-level view, we focused on approaching data science problems by looking at available data, determining business needs, and assessing the data for suitability. Next, we discussed how to understand data from a modeling perspective, such as being able to identify whether datasets lend themselves to supervised or unsupervised learning problems.

Having covered these big-picture ideas, we paid particular attention to data preparation, which should be performed prior to modeling. We saw how to merge datasets, drop or fill missing values, transform categorical features, and split datasets into training and testing sets.

Finally, we introduced the Human Resource Analytics dataset and put what we learned into practice by cleaning...

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