Master NetworkX, Social Network Analysis & Shortest Path Algorithms – Build 4 Professional Projects with Graph Theory
What you will learn
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Master fundamental graph theory algorithms including DFS, BFS, Dijkstra’s Algorithm, and implement them efficiently using Python and NetworkX
Build a complete social network analyzer from scratch, including visualization tools and community detection algorithms
Implement and optimize pathfinding algorithms for real-world applications like city navigation systems and transportation networks
Design and develop optimal network infrastructure using Minimum Spanning Tree algorithms (Kruskal’s and Prim’s)
Create professional graph visualizations using NetworkX and Matplotlib, including interactive network displays and analysis tools
Apply centrality measures and PageRank algorithms to analyze influence and importance in social networks
Develop a recommendation system using graph-based algorithms and machine learning techniques
Master advanced network analysis techniques including community detection, bipartite graphs, and articulation points
Build four complete real-world projects that demonstrate practical applications of graph theory in modern software development
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