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SKILL.md

| Algorithm | Use Case | Pros | Cons |

| Linear Regression | Continuous prediction | Interpretable, fast | Linear relationships only | | Logistic Regression | Binary classification | Interpretable, probabilistic | Linear boundaries | | Random Forest | Classification/Regression | Handles non-linearity | Less interpretable | | XGBoost | Classification/Regression | High accuracy | Overfitting risk |

| Neural Networks | Complex patterns | Flexible | Requires lots of data |

涵盖机器学习、统计建模、实验、预测分析和高级分析的专家数据科学。 来源：borghei/claude-skills。

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