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

Product typeBook

Published inJan 2022

PublisherPackt

ISBN-139781801072137

Edition1st Edition

Tools

PyTorch Azure Functions

Concepts

Big Data

Author (1)

Roy Jafari

Part 3: The Preprocessing

In this part, you will learn how to use Python to perform data cleaning, data integration, data reduction, and data transformation to prepare data for successful analytic purposes.

This part comprises the following chapters:

Chapter 9, Data Cleaning Level I – Cleaning Up the Table
Chapter 10, Data Cleaning Level II – Unpacking, Restructuring, and Reformulating the Table
Chapter 11, Data Cleaning Level III – Missing Values, Outliers, and Errors
Chapter 12, Data Fusion and Data Integration
Chapter 13, Data Reduction
Chapter 14, Data Transformation and Massaging

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Author (1)

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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