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Avik-Jain/100-Days-of-ML-Code-Chinese-Version
Chinese Translation for Machine Learning Infographics
A Chinese translation of the popular '100 Days of ML Code' infographic series by Avik-Jain, covering supervised and unsupervised learning basics through visual cheat sheets. Aimed at Chinese-speaking developers learning classical ML from scratch. The original English repo has over 40k stars; this translation captured about 3.5k before going quiet.
The infographics are genuinely well-designed — dense without being unreadable, covering the intuition behind algorithms like SVM and decision trees better than most text explanations. Linking to Bilibili mirrors of 3Blue1Brown videos is a practical touch for a Chinese audience where YouTube is blocked. The progression from data preprocessing through clustering follows a sensible order for a beginner.
Abandoned in September 2018 at day 54 — the repo stops mid-series and the code directory contains almost nothing (one preprocessing script, a couple of markdown files). The actual code content lives in the MachineLearning100 fork, not here, so this is mostly a README pointing elsewhere. Everything covered is pre-deep-learning classical ML with scikit-learn; nothing here is relevant to how the field looks today.