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

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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Practice case studies

This subchapter introduces 10 practice case studies. Each case study introduces a dataset and provides an analytics goal that can be achieved by preprocessing and analyzing the dataset. While each case study comes with a few analytics questions (AQs), don't allow them to close your mind to other possibilities. The suggested AQs are only meant to get you started.

We will start with a very meaningful and valuable case study that can provide real value to many levels of decision makers.

Google Covid-19 mobility dataset

Since the beginning of the recent COVID 19 pandemic, the United States (US) had various responses to combat Covid-19, varying from state to state. Each state implemented different health and safety precautions and followed different timeframes when shutting down the state. Many factors contributed to each state's health regulations, such as the number of Covid-19 cases, population density, and healthcare systems; however, most states...

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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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