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The Applied Data Science Workshop

You're reading from   The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800202504
Length 352 pages
Edition 2nd Edition
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Author (1):
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Alex Galea Alex Galea
Author Profile Icon Alex Galea
Alex Galea
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Summary

In this chapter, we ran an exploratory analysis in a live Jupyter Notebook environment. In doing so, we used visualizations such as scatter plots, histograms, and violin plots to deepen our understanding of the data. We also performed simple predictive modeling, a topic that will be the focus of the following chapters in this book.

In the next chapter, we will discuss how to approach predictive analytics and what things to consider when preparing the data for modeling. We'll use pandas to explore methods of data preprocessing, such as filling missing data, converting from categorical to numeric features, and splitting data into training and testing sets.

You have been reading a chapter from
The Applied Data Science Workshop - Second Edition
Published in: Jul 2020
Publisher: Packt
ISBN-13: 9781800202504
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