| 01 Introduction | |||
| 001 Course Intro.mp4 | 14.24 MB | ||
| 02 Overview of networkX | |||
| 001 Overview of networkX.mp4 | 35.98 MB | ||
| 002 NetworkX Basics.mp4 | 20.54 MB | ||
| 03 Installation of networkX and iPython Notebooks | |||
| 001 Installation of networkX and iPython Notebooks.mp4 | 39.4 MB | ||
| 04 Creating nodes using networkX | |||
| 001 Creating Nodes using networkX.mp4 | 9.8 MB | ||
| 05 Adding edges to graphs | |||
| 001 Adding edges to graphs.mp4 | 11.43 MB | ||
| 06 Getting graph properties | |||
| 001 Getting graph properties.mp4 | 20.31 MB | ||
| 07 Node Manipulation | |||
| 001 Node manipulation.mp4 | 5.52 MB | ||
| 08 Adding attributes to graphs | |||
| 001 Adding attributes to graphs-01.mp4 | 10.75 MB | ||
| 002 Adding attributes to graphs-02.mp4 | 14.11 MB | ||
| 09 Adding edge attributes to graphs | |||
| 001 Adding edge attributes to graphs-01.mp4 | 15.02 MB | ||
| 002 Adding edge attributes to graphs-02.mp4 | 11.8 MB | ||
| 10 Creating DiGraphs | |||
| 001 Creating DiGraphs-01.mp4 | 21.52 MB | ||
| 002 Creating DiGraphs-02.mp4 | 12.78 MB | ||
| 11 Creating MultiGraphs | |||
| 001 Creating MultiGraphs.mp4 | 19.02 MB | ||
| 12 Creating MultiDiGraphs | |||
| 001 Creating MultiDiGraphs.mp4 | 19.1 MB | ||
| 13 Graph Generators | |||
| 001 Graph generators-01.mp4 | 18.14 MB | ||
| 002 Graph generators-02.mp4 | 18.2 MB | ||
| 14 Graph Metrics | |||
| 001 Shortest Path.mp4 | 16.75 MB | ||
| 002 Clustering Coefficient.mp4 | 12.43 MB | ||
| 15 Defining Functions | |||
| 001 Define functions to draw graphs-01.mp4 | 7.65 MB | ||
| 002 Define functions to draw graphs-02.mp4 | 9.12 MB | ||
| 003 Create nodes using a custom function.mp4 | 10.62 MB | ||
| 004 Delete nodes using a custom function.mp4 | 9.95 MB | ||
| 005 Delete edges using a custom function.mp4 | 10.57 MB | ||
| 006 Custom node size and node color using a custom function.mp4 | 11.64 MB | ||
| 007 Custom edge colors using a custom function.mp4 | 12.25 MB | ||
| 16 Graph Visualizations | |||
| 001 Draw Images using networkX.mp4 | 12.61 MB | ||
| 002 Draw circular graphs.mp4 | 15.23 MB | ||
| 003 Draw bar graph using betweenness centrality.mp4 | 9.24 MB | ||
| 17 Nodes , Degrees and Centrality Metrics | |||
| 001 Nodes, Degrees and Centrality.mp4 | 9.13 MB | ||
| 18 Random Graphs | |||
| 001 Grid Graphs.mp4 | 15.69 MB | ||
| 002 Circular Trees.mp4 | 7.78 MB | ||
| 003 Bipartite Graphs.mp4 | 24.15 MB | ||
| 004 Some random graphs.mp4 | 15.78 MB | ||
| 005 House Graph.mp4 | 16.7 MB | ||
| 19 Small Famous Graphs | |||
| 001 Small famous graphs.mp4 | 10.27 MB | ||
| 002 Famous social network graphs.mp4 | 37.29 MB | ||
| 003 Classical graphs.mp4 | 30.97 MB | ||
| 20 Reading and writing graph files | |||
| 001 Writing files.mp4 | 12.49 MB | ||
| 002 Reading files.mp4 | 4.75 MB | ||
| 003 Writing edgeList graphs.mp4 | 17.58 MB | ||
| 004 Reading graphs files using open function.mp4 | 7.54 MB | ||
| 005 Reading edgeList graphs.mp4 | 7.63 MB | ||
| 21 Social Network Analysis | |||
| 001 Social network -00.mp4 | 25.47 MB | ||
| 002 Social network -01.mp4 | 27.32 MB | ||
| 003 Social network -02.mp4 | 14.62 MB | ||
| 004 Social network -03.mp4 | 12.4 MB | ||
| 005 Social network -04.mp4 | 15.72 MB | ||
| 006 Social network -05.mp4 | 12.75 MB | ||
| 007 Social network -06.mp4 | 24.35 MB | ||
| 22 Subgraphs | |||
| 001 Subgraphs.mp4 | 9.73 MB | ||
| 002 Triangles.mp4 | 11.81 MB | ||
| 23 Facebook Social Network Analysis | |||
| 001 Facebook Social Network Analysis.mp4 | 26.45 MB | ||
| 002 Facebook Social Network Analysis.mp4 | 56.63 MB | ||
| 24 Conclusions | |||
| 001 Thank you Good Bye.mp4 | 2.03 MB | ||
| ▲ 56 total files | |||
What you'll learn
Create graphs using NetworkX package
Create nodes of a graph
Create edges of a graph
Determine the attributes of a node and edges
Analyze social networks likeand Twitter
Students will learn more about properties of a graph
Learn about Clustering coefficient , Betweenness centrality, degree centrality etc
Learn about Connected graphs, Bipartite graphs, etc
Learn about the types of graphs used for social network analysis
Course goals :
-At the end of the course students should be able to learn some basics of graph theory
- Students should be able to analyzesocial networks
- Students should take the simple quizzes
- Students should know what is directed and undirected graphs
- Students should be able to visualize graphs using different graph plots
- You can use this course to analyze the world as a network
- Everything in this world is now connected
- Extract useful information from graphs
Life time access to the course. What are you waiting for? Learn practical graph and social network analytics today that would improve your career and increase your knowledge.
Who this course is for:
Beginners who have never programmed in python before
Students who are Graph Enthusiast
Intermediate python programmers who want to level up their skills
Students who want to analyze social networks likeand Twitter
Mathematics students who wants to apply their knowledge in Graph Theory
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 316.3 MB | freecoursewb | 4 years | 0 | 0 | |
| 881 MB | skydiving666 | 11 years | 1 | 0 |
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