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You're reading from  Hands-On Data Preprocessing in Python

Product typeBook
Published inJan 2022
PublisherPackt
ISBN-139781801072137
Edition1st Edition
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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.
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Summary

Congratulations on your excellent progress. In this chapter and through three examples, we were able to use the programming and analytics skills that we have developed throughout this book to effectively preprocess example datasets and meet the example's analytics goals.

In the next chapter, we will focus on level III data cleaning. This level of data cleaning is the toughest data cleaning level as it requires an even deeper understanding of the analytic goals of data preprocessing.

Before moving on and starting your journey regarding level III data cleaning, spend some time on the following exercises and solidify what you've learned.

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Hands-On Data Preprocessing in Python
Published in: Jan 2022Publisher: PacktISBN-13: 9781801072137

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