Marketplace

Machine Learning

Python machine learning with scikit-learn, PyTorch, and TensorFlow

$ 설치

git clone https://github.com/pluginagentmarketplace/custom-plugin-python /tmp/custom-plugin-python && cp -r /tmp/custom-plugin-python/skills/machine-learning ~/.claude/skills/custom-plugin-python

// tip: Run this command in your terminal to install the skill

SKILL.md

View on GitHub →

name: Machine Learning description: Python machine learning with scikit-learn, PyTorch, and TensorFlow version: "2.1.0" sasmp_version: "1.3.0" bonded_agent: 03-data-science bond_type: PRIMARY_BOND

Skill Configuration

retry_strategy: exponential_backoff observability: logging: true metrics: model_accuracy

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