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Learn Neo4j Database and Graph Algorithms

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4:29:56

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  • 1.1 Learn Neo4j Database and Graph Algorithms.zip
  • 1. Course Overview.mp4
    03:46
  • 2. Basics of Neo4j 3.x.mp4
    04:51
  • 3. System Requirements.mp4
    03:06
  • 4. Setting up Neo4j Desktop.mp4
    03:38
  • 5. Relational DBs VS Graph DBs.mp4
    06:10
  • 6. Creating Nodes in Neo4j.mp4
    05:53
  • 7. Creating Relationships between Nodes.mp4
    06:07
  • 8. Working with Bank Management System.mp4
    11:56
  • 9. Working with Merge Clause.mp4
    04:25
  • 10. Working with WRITE Clauses.mp4
    06:36
  • 11. Working with READ Clause.mp4
    06:43
  • 12. Optimizing Clauses and Queries.mp4
    05:37
  • 13. Understanding String Functions.mp4
    03:26
  • 14. Understanding Mathematical Functions.mp4
    04:58
  • 15. Writing user-defined Functions.mp4
    05:42
  • 16. Writing Integration Tests for User-defined function.mp4
    03:43
  • 17. Implementing the Functions in Project.mp4
    09:23
  • 18. Understanding Neo4j Admin Panel.mp4
    06:03
  • 19. Working with Database Backup.mp4
    05:07
  • 20. Useful Commands and Keyboard Shortcuts.mp4
    05:15
  • 21. Query and Command Line Tips.mp4
    03:16
  • 22. Adding Constraints to our Project.mp4
    08:04
  • 23. What could be next.mp4
    03:29
  • 24. Summarizing the Course.mp4
    02:49
  • 25. Test Your Knowledge.html
  • 1. The Course Overview.mp4
    03:33
  • 2. Real-World Examples of Graph Algorithms Applications.mp4
    03:44
  • 3. Graph Properties.mp4
    05:33
  • 4. Library Installation.mp4
    08:27
  • 5. The Shortest Path Algorithm.mp4
    09:27
  • 6. More about Graph Algorithms Library Principles.mp4
    10:16
  • 7. Find Shortest Path Between Two Stations.mp4
    08:41
  • 8. Alternative Algorithms.mp4
    07:03
  • 9. Finding Alternative Routes.mp4
    07:40
  • 10. Centrality Detection Principles.mp4
    08:32
  • 11. The PageRank Algorithm.mp4
    06:56
  • 12. A Comparison of Other Centrality Detection Algorithm.mp4
    05:45
  • 13. Influencer Detection.mp4
    06:47
  • 14. Algorithms Strength and Differences.mp4
    09:44
  • 15. Building a Real-Time Recommendation Engine.mp4
    05:46
  • 16. Community-Based Recommendations.mp4
    06:18
  • 17. Using Similarity Measures.mp4
    10:18
  • 18. Link Prediction in Neo4j.mp4
    08:12
  • 19. Machine Learning on Graphs.mp4
    03:31
  • 20. Conclusions and Perspectives.mp4
    03:40
  • 21. Test Your Knowledge.html
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    Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.
    • language english
    • Training sessions 44
    • duration 4:29:56
    • English subtitles has
    • Release Date 2024/03/15