Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.
raphaelmansuy/machine-learning-feature-selection
SkillsMP has collected 4 skills from raphaelmansuy/machine-learning-feature-selection. Open a skill to review its source and details.
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Skills in this repository
3 occupation categories · 100% classified
Showing 4 of 4 collected skills.
skill
occupation
description
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occupation
Data Scientists
description
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occupation
Software Developers
description
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.
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occupation
Software Developers
description
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.
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occupation
Project Management Specialists
description
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.
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Showing 4 of 4 collected skills.