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Hands-On Graph Analytics with Neo4j

To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
17h approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 17h total length

1. Graph Databases
2. The Cypher Query Language
3. Empowering Your Business with Pure Cypher
4. The Graph Data Science Library and Path Finding
5. Spatial Data
6. Node Importance
7. Community Detection and Similarity Measures
8. Using Graph-based Features in Machine Learning
9. Predicting Relationships
10. Graph embedding - from Graphs to Matrices
11. Using Neo4j in Your Web Application
12. Neo4j at Scale

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