tomasonjo/graphs-network-science
Accompanying repository for my book about Graph Data Science
This project offers practical examples and code for applying graph algorithms to real-world data science problems. It helps data scientists and analysts understand how to process complex, interconnected datasets, transforming them into meaningful insights and models. Users can input their network data, like social connections or infrastructure links, to apply various graph algorithms and extract patterns or make predictions.
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Use this if you are a data scientist or analyst looking to apply graph theory and network science techniques to your data and need concrete, runnable examples.
Not ideal if you are a beginner looking for a conceptual introduction to data science, as this resource assumes some foundational knowledge.
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Jun 22, 2023
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