Online Course Data Science with Neo4j Setting Up your Development Environment Exploratory Data Analysis Recommendations Predictions Summary: Data Science with Neo4j Want to Speak? Get $ back. Summary: Data Science with Neo4j Course Summary In this course, you have learned… Read more →

Summary: Data Science with Neo4j

Course Summary

In this course, you have learned how to:

  • Set up your Neo4j Sandbox development environment for performing the hands-on exercises of this course
  • Query a database for its schema
  • Return and chart the number of node labels and relationship types using matplotlib
  • Build and plot a histogram of papers and their citations using pandas and matplotlib
  • Build a mini recommendation engine with Cypher queries to:
    • find potential collaborators for an author
    • find relevant papers about a topic for an author
  • Describe what link prediction is
  • Use the link prediction functions in Neo4j
  • Understand the challenges when building machine learning models on graph data
  • Build a link prediction classifier using scikit-learn with features derived from the Neo4j Graph Algorithms library

Next steps

There are many resources available to you for learning more about doing Data Science with Neo4j.

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