An introduction to clustering algorithms
University-style notes on k-means, DBSCAN, hierarchical clustering, and evaluating the groups they produce.
READ ARTICLE ↗Here you can find notes from my time in the LaunchX bootcamp and research I worked on for university courses.
University-style notes on k-means, DBSCAN, hierarchical clustering, and evaluating the groups they produce.
READ ARTICLE ↗A practical study of reliable delivery, flow control, congestion windows, and loss recovery.
READ ARTICLE ↗A step-by-step Git tutorial: prepare a project, commit it, push to GitHub, and keep working with branches.
READ ARTICLE ↗What a university project taught me about reproducible environments and connecting simulation with Python tools.
READ ARTICLE ↗Create a small JavaScript test, run it, and understand what the result does and does not tell you.
READ ARTICLE ↗What local version control does, what GitHub adds, and why both matter on a team.
READ ARTICLE ↗A reflection on empathy, collaboration, and the people behind the code.
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