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You're reading from  Python Data Science Essentials. - Third Edition

Product typeBook
Published inSep 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789537864
Edition3rd Edition
Languages
Python
Tools
Scikit-learn
Concepts
Data Science
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Author (1)
Alberto Boschetti
Alberto Boschetti
author image
Alberto Boschetti

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.
Read more about Alberto Boschetti

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Summary

This chapter provided an overview of essential data science by providing examples of both basic and advanced graphical representations of data, machine learning processes, and results. We explored the pylab module from matplotlib, which gives the easiest and fastest access to the graphical capabilities of the package. We used pandas for EDA, and tested the graphical utilities provided by scikit-learn. All examples were like building blocks, and they are all easily customizable in order to provide you with a fast template for visualization.

In the next chapter, you'll be introduced to graphs, which are an interesting deviation from the predictors/target flat matrices. They are quite a hot topic in data science now. Expect to delve into very complex and intricate networks.

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Python Data Science Essentials. - Third Edition
Published in: Sep 2018Publisher: PacktISBN-13: 9781789537864
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alberto Boschetti

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.
Read more about Alberto Boschetti

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