Social Network Analysis(SNA) and Graph Analysis using Python

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Social Network Analysis(SNA) and Graph Analysis using Python Download

Learn and Use SNA in advance Machine learning

What you’ll learn
  • 1. The content (80% hands-on and 20% theory) will prepare you to work independently on SNA projects
  • 2. Learn – Basic, Intermediate, and Advance concepts
  • 3. Graph’s foundations (20 techniques)
  • 4. Graph’s use cases (6 use cases)
  • 5. Link Analysis (how Google search the best link/page for you)
  • 6. Page Ranks
  • 7. Hyperlink-Induced Topic Search (HITS; also known as hubs and authorities)
  • 8. Node embedding
  • 9. Recommendations using SNA (theory)
  • 10. Management and monitoring of complex networks (theory)
  • 11. How to use SNA for Data Analytics (theory)
Requirements
Description

As a practitioner of SNA, I am trying to bring many relevant topics under one umbrella in the following topics so that it can be used in advance machine learning areas.

1. The content (80% hands-on and 20% theory) will prepare you to work independently on SNA projects

2. Learn – Basic, Intermediate, and Advance concepts

3. Graph’s foundations (20 techniques)

4. Graph’s use cases (6 use cases)

5. Link Analysis (how Google search the best link/page for you)

6. Page Ranks

7. Hyperlink-Induced Topic Search (HITS; also known as hubs and authorities)

8. Node embedding

9. Recommendations using SNA (theory)

10. Management and monitoring of complex networks (theory)

11. How to use SNA for Data Analytics (theory)

Who this course is for:
  • Anyone who wants to Learn and Apply SNA using Python
  • Anyone who wants to Learn advance Machine Learning
Social Network Analysis(SNA) and Graph Analysis using Python Download

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Source: https://www.udemy.com/course/social-network-analysissna-and-graph-analysis-using-python/
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