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Product typeBook
Published inJan 2022
PublisherPackt
ISBN-139781801072137
Edition1st Edition
Tools
PyTorchAzure Functions
Concepts
Big Data
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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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The levels, tools, and purposes of data cleaning – a roadmap to chapters 9, 10, and 11

One of the most exciting moments in any data analytics project is when you have one dataset that you believe contains all the data you need to effectively meet the goals of the project. This moment comes normally in one of the following situations:

  • You are done collecting data for the analysis you have in mind.
  • You have done extensive data integration from different data sources. Data integration is a very important skillset and we will cover it in Chapter 12, Data Fusion and Data Integration.
  • The dataset is just shared with you and it contains everything that you need.

Regardless of how you got your hands on the dataset, this is an exciting moment. But beware that more often than not, you still have many steps to take before you can analyze the data. First, you need to clean the dataset.

To learn about and perform data cleaning, we need to fully understand the following...

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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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