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You're reading from  Hands-On Graph Analytics with Neo4j

Product typeBook
Published inAug 2020
PublisherPackt
ISBN-139781839212611
Edition1st Edition
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Author (1)
Estelle Scifo
Estelle Scifo
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Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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Questions

Here are a couple of exercises that you can try on your own to get more confident with the concepts covered in this chapter:

  • Projected graph creation with Python: Modify the code studied in this chapter to create a Cypher projected graph.
  • PageRank score distribution: Can you explain the shape of the PageRank score distribution for users not contributing to Neo4j (label = False)?

You are also encouraged to try and create a graph out of your data and try to include graph-based features in your own pipeline.

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Hands-On Graph Analytics with Neo4j
Published in: Aug 2020Publisher: PacktISBN-13: 9781839212611

Author (1)

author image
Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo