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Update SKILL.md files to add double quotation marks for all skills, ensuring clarity and consistency across all entries.

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Haoxuan "Orion" Li
2025-10-20 20:51:50 -07:00
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scientific-packages/scikit-learn/SKILL.md
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---
name: scikit-learn
description: Comprehensive machine learning toolkit using scikit-learn for Python. Use this skill for supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), data preprocessing (scaling, encoding, imputation, feature engineering), model evaluation (cross-validation, metrics, hyperparameter tuning), ML pipeline creation, anomaly detection, ensemble methods, feature selection, algorithm comparison, model deployment, and best practices. Covers RandomForest, SVM, LogisticRegression, KMeans, PCA, preprocessing pipelines, GridSearch, cross-validation, imbalanced data handling, mixed data types, text classification, and preventing data leakage. Essential for any machine learning project requiring predictive modeling, pattern recognition, or data analysis workflows.
description: "Comprehensive machine learning toolkit using scikit-learn for Python. Use this skill for supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), data preprocessing (scaling, encoding, imputation, feature engineering), model evaluation (cross-validation, metrics, hyperparameter tuning), ML pipeline creation, anomaly detection, ensemble methods, feature selection, algorithm comparison, model deployment, and best practices. Covers RandomForest, SVM, LogisticRegression, KMeans, PCA, preprocessing pipelines, GridSearch, cross-validation, imbalanced data handling, mixed data types, text classification, and preventing data leakage. Essential for any machine learning project requiring predictive modeling, pattern recognition, or data analysis workflows."
---
# Scikit-learn: Machine Learning in Python