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machine-learning-feature-selection
machine-learning-feature-selection enthält 4 gesammelte Skills von raphaelmansuy, mit Repository-Berufsabdeckung und Skill-Detailseiten auf SkillsMP.
Skills in diesem Repository
Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.
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.
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.
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.