// the find
Visualize-ML/Book6_First-Course-in-Data-Science
Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！
Companion code repo for a Chinese-language data science textbook (part of a series nicknamed 'the iris flower book'), covering everything from basic stats and data cleaning through graph theory, matrices, clustering, and PageRank. It's aimed at Chinese-speaking students or self-learners working through the book chapter by chapter, not at developers looking for a library.
Unusually broad syllabus for a single repo — goes from missing-value handling and outliers in early chapters to graph connectivity, transition matrices, and PageRank by the end, with a notebook for nearly every sub-topic. Each chapter pairs its notebooks with a PDF of the actual book content, so the code isn't orphaned from the explanation. Ships real datasets (S&P 500 prices, Gapminder, a Facebook ego-network) so the graph and clustering chapters are runnable end to end, not toy examples.
README is just a set of discount links to buy the printed books on Zhihu — no setup instructions, no requirements.txt or environment.yml, so getting the notebooks running is guesswork. Notebook filenames (Bk6_Ch14_08.ipynb) give no hint of content without opening them; there's no index mapping notebook to concept. Content is almost entirely in Chinese, which is a hard wall for anyone who doesn't read it. No license file, so reuse terms for the code are unclear.