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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.
Read more about Roy Jafari

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Introducing the case study

As the world started grappling with the ramifications of COVID-19, healthcare systems across the globe started dealing with the new overwhelming burden of caring for the people infected with the disease. For instance, in the US governments, all levels – Federal, State, and local, had to make decisions so they can help the hospitals as they struggled to shoulder the crisis. The good news is that database and data analytics technologies were able to create real value for these decision-makers. For instance, the following figure shows a dashboard that monitors the COVID-19 situation for Los Angeles County in the State of California in the United States. The figure was collected from http://publichealth.lacounty.gov/media/coronavirus/data/index.htm on October 4, 2021.

Figure 16.1 – An LA County COVID-19 data dashboard

In this case study, we are going to see an example of data analytics that can be of meaningful value to...

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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