Parul Pandey’s Data Science Articles: A Medium Reading Index on GitHub, Not a Code Library

parulnith/Data-Science-Articles is a reading index, not a toolkit. The README describes it as a collection of the author’s blogs on data science and machine learning, hosted on Medium, with links to Towards Data Science and the author’s own site. There is no model, package, or dataset in the material provided. That distinction sets the right expectation for builders evaluating it. The repository does not claim new results, and the README excerpt lists no benchmarks, evaluation criteria, or production deployments to assess. Its function is curation: grouping existing articles so a reader can find material by topic instead of searching Medium. What the index covers The table of contents lists 22 categories, including Generative AI, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Pandas, SQL, Responsible AI, and Research Papers. The Generative AI section, for example, links to pieces on manipulating LLM recommendations, visual guides to LLM basics, and notes on Llama 2 development. Other sections link to interviews with practitioners and authors, and to