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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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Understanding Data from a Modeling Perspective

When attempting to understand a business problem in the context of machine learning, we need to identify whether the problem lends itself to supervised or unsupervised learning. Can the problem be solved by modeling a target variable? If yes, then is this variable available in the dataset? Is it numerical or categorical? The answers to these questions will allow us to identify which modeling algorithms will be relevant to our problem. The following diagram provides an overview of this process:

Figure 3.1: A flowchart for identifying types of modeling problems

The preceding flowchart describes the various paths we can follow in order to categorize a dataset for modeling. At the first branch, we are interested in identifying whether a target variable exists. For example, in a weather forecast model, it could be a column recording the amount of rainfall historically. Or perhaps the target variable is a column labeling...

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