building-automl-pipelines
| Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning. Use when automating ML workflows from data preparation through model deployment. Trigger with phrases like "build automl pipeline", "automate ml workflow", or "create automated training pipeline".
Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation
View all platforms →skilz install jeremylongshore_claude-code-plugins-plus-skills/building-automl-pipelines skilz install jeremylongshore_claude-code-plugins-plus-skills/building-automl-pipelines --agent opencode skilz install jeremylongshore_claude-code-plugins-plus-skills/building-automl-pipelines --agent codex skilz install jeremylongshore_claude-code-plugins-plus-skills/building-automl-pipelines --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills cp -r claude-code-plugins-plus-skills/plugins/ai-ml/automl-pipeline-builder/skills/automl-pipeline-builder ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Details
- Owner
- jeremylongshore
- Repository
- claude-code-plugins-plus-skills
- Stars
- 769
- Forks
- 89
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Sub-Domain
- learning model skill
- Skill Size
- 28.5 KB
- Files
- 10
- Quality Score
- 46.2
AI-Detected Topics
Extracted using NLP analysis
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