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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

In this chapter, we have introduced you to the Hadoop ecosystem, including the architecture, HDFS, and PySpark. After this introduction, we started setting up your local Spark instance, and after sharing variables across cluster nodes, we went through data processing in Spark using both RDDs and DataFrames.

Later on in this chapter, we learned about machine learning with Spark, which included reading a dataset, training a learner, the power of the machine learning pipeline, cross-validation, and even testing what we learned with an example dataset.

This concludes our journey around the essentials in data science with Python, and the next chapter is just an appendix to refresh and strengthen your Python foundations. In conclusion, through all the chapters of this book, we have completed our tour of a data science project, touching on all the key steps of a project and presenting...

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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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