raphaelmansuy/machine-learning-feature-selection

sota-data-cleaning-feature-selection-eda

Master SOTA data prep for Kaggle comps: automated EDA (Sweetviz), cleaning (Pyjanitor), and feature selection (Polars + XGBoost) for medium datasets (100MB–5GB) in Colab.

لغة النص الأصلي: الإنجليزية

skill-creator

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.

لغة النص الأصلي: الإنجليزية

agents-md-guide

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.

لغة النص الأصلي: الإنجليزية

sequentialthinking

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.

لغة النص الأصلي: الإنجليزية