machine-learning
✓Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
SKILL.md
Production-grade machine learning with scikit-learn, XGBoost, and modern ML engineering practices.
| scikit-learn | Core ML library | 1.4+ | | XGBoost | Gradient boosting | 2.0+ | | LightGBM | Fast gradient boosting | 4.2+ | | CatBoost | Categorical boosting | 1.2+ | | imbalanced-learn | Sampling strategies | 0.12+ | | SHAP | Model interpretability | 0.44+ | | Optuna | Hyperparameter tuning | 3.5+ | | MLflow | Experiment tracking | 2.10+ |
| Issue | Symptoms | Root Cause | Fix |
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML Source: pluginagentmarketplace/custom-plugin-data-engineer.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-data-engineer --skill machine-learning- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is machine-learning?
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML Source: pluginagentmarketplace/custom-plugin-data-engineer.
How do I install machine-learning?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/pluginagentmarketplace/custom-plugin-data-engineer --skill machine-learning Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/pluginagentmarketplace/custom-plugin-data-engineer
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01