Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.
原文语言:英语
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SkillsMP 已收集 raphaelmansuy/machine-learning-feature-selection 中的 4 个 Skill。打开任一 Skill 可查看来源和详情。
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Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.
原文语言:英语
Use this skill to create new Agent Skills for GitHub Copilot. It guides you through the process of setting up the directory structure and the SKILL.md file.
原文语言:英语
Guide for using and supporting the AGENTS.md standard in VS Code. Use this when asked about AGENTS.md, custom instructions, or repo-level AI agent configuration.
原文语言:英语
Use this skill for systematic problem-solving through structured, iterative thinking. Break down complex problems, iterate on understanding, catch edge cases, and validate solutions comprehensively.
原文语言:英语