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In this liveProject, you’ll turn your data science skills to analyzing an OTC network dataset scraped from bitcoin users in order to establish the most (and least!) trustworthy users. You’ll analyze a provided graph dataset, visualize it, generate features, and then create user clusters. You’ll start out by reading and examining the trust network dataset in Python, then create and interpret user clusters, and finally visualize the nodes and edges of the network dataset. This fast and engaging data science project will stretch your skills and build your knowledge of clustering.
The liveProject is for data practitioners interested in exploring network analysis. To begin this liveProject, you will need to be familiar with the following:
In this liveProject, you’ll build your skills in analyzing network datasets and an introductory knowledge of clustering.