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5. Pandas Raw data is messy. 80% of an ML engineer's job is cleaning data. Use Pandas to handle missing values, remove duplicates, and engineer new features. 6. Exploratory Data Analysis (EDA) Always ...

本文系统梳理 Skills 标准的来龙去脉、当前生态的工具地图，以及国内团队明天就能落地的 7 步实战流程。 设想这样一个场景：你团队新招了一位 AI 工程师，模型能力很强，但你每次给任务都要先贴 3000 字"公司开发规范"——分支命名规则、PR 模板、评审 checklist ...