Machine Learning
This is a Python-focused skill that gives Claude access to scikit-learn and PyTorch for building ML models. It covers the usual suspects: data preprocessing, model training, cross-validation, and hyperparameter tuning. The repo has passed security audits from Gen Agent Trust Hub, Socket, and Snyk, which is reassuring for production use. It's fairly straightforward if you need Claude to help prototype models or explain ML concepts with working code. The GitHub repo only has 5 stars, so it's pretty niche, but the core functionality is solid enough for experimentation and learning workflows.
- GitHub stars
- 6
- last updated
- Aug 21, 2026
Install
$ npx -y skills add pluginagentmarketplace/custom-plugin-python --skill 'Machine Learning' --agent claude-codeInstalls into .claude/skills of the current project.
Files
Python Machine Learning Skill
Overview
Build machine learning models using Python libraries including scikit-learn, PyTorch, and supporting tools.
Topics Covered
Scikit-learn
- Data preprocessing
- Model selection
- Training pipelines
- Cross-validation
- Hyperparameter tuning
PyTorch Basics
- Tensor operations
- Neural network modules
- Training loops
- DataLoader usage
- GPU acceleration
Feature Engineering
- Feature selection
- Dimensionality reduction
- Feature scaling
- Encoding techniques
- Missing data handling
Model Evaluation
- Metrics selection
- Confusion matrix
- ROC curves
- Learning curves
- Model comparison
MLOps Basics
- Model serialization
- Experiment tracking (MLflow)
- Model versioning
- Serving models
- Reproducibility
Prerequisites
- Python fundamentals
- NumPy and Pandas
- Statistics basics
Learning Outcomes
- Train ML models
- Evaluate model performance
- Build ML pipelines
- Deploy models to production
Sponsors
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- Repository
- github.com/pluginagentmarketplace/custom-plugin-python
- Categories
- Documentation, Data Science & ML, Python
- First seen
- Jun 3, 2026
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