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Product typeBook
Published inJan 2022
PublisherPackt
ISBN-139781801072137
Edition1st Edition
Tools
PyTorchAzure Functions
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Author (1)
Roy Jafari
Roy Jafari
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Roy Jafari

Roy Jafari, Ph.D. is an assistant professor of business analytics at the University of Redlands. Roy has taught and developed college-level courses that cover data cleaning, decision making, data science, machine learning, and optimization. Roy's style of teaching is hands-on and he believes the best way to learn is to learn by doing. He uses active learning teaching philosophy and readers will get to experience active learning in this book. Roy believes that successful data preprocessing only happens when you are equipped with the most efficient tools, have an appropriate understanding of data analytic goals, are aware of data preprocessing steps, and can compare a variety of methods. This belief has shaped the structure of this book.
Read more about Roy Jafari

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Binary coding, ranking transformation, and discretization

In our analytics journey, there will be many instances in which we want to transform our data from numerical representation to categorical representation, or vice versa. To do these transformations, we will have to use one of three tools: binary coding, ranking transformation, and discretization.

As the following figure shows, to switch from Categories to Numbers, we either have to use Binary Coding or Ranking Transformation, and to switch from numbers to categories, we need to use Discretization:

Figure 14.3 – Direction of application for binary coding, ranking transformation, and discretization

One question that the preceding figure might bring to mind is, how do we know which one we choose when we want to move from categories to numbers: binary coding or ranking transformation? The answer is simple.

If the categories are nominal, we can only use binary coding; if they are ordinal, both...

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Hands-On Data Preprocessing in Python
Published in: Jan 2022Publisher: PacktISBN-13: 9781801072137
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Roy Jafari

Roy Jafari, Ph.D. is an assistant professor of business analytics at the University of Redlands. Roy has taught and developed college-level courses that cover data cleaning, decision making, data science, machine learning, and optimization. Roy's style of teaching is hands-on and he believes the best way to learn is to learn by doing. He uses active learning teaching philosophy and readers will get to experience active learning in this book. Roy believes that successful data preprocessing only happens when you are equipped with the most efficient tools, have an appropriate understanding of data analytic goals, are aware of data preprocessing steps, and can compare a variety of methods. This belief has shaped the structure of this book.
Read more about Roy Jafari

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