scikit-learn
8 ресурсов с этим тегом
Categorical Encoder агент
Предоставляет экспертные рекомендации по кодированию категориальных переменных для машинного обучения, включая выбор техник, реализацию и обработку особых случаев.
Ensemble Model Builder агент
Позволяет Claude проектировать, внедрять и оптимизировать ансамблевые модели машинного обучения, используя различные стратегии комбинирования и подходы мета-обучения.
Feature Engineering Pipeline Expert
Transforms Claude into an expert at designing, building, and optimizing comprehensive feature engineering pipelines for machine learning projects.
Numerical Scaler
Transforms Claude into an expert at selecting, implementing, and optimizing numerical scaling techniques for machine learning and data preprocessing.
Polynomial Features Generator
Transform Claude into an expert at generating polynomial features for machine learning, including feature expansion, interaction terms, and regularization strategies.
Sklearn Pipeline Builder
Expert guidance for building robust, production-ready scikit-learn pipelines with proper preprocessing, feature engineering, and model composition.
Time-Based Feature Engineering
Transforms Claude into an expert at extracting, engineering, and optimizing temporal features for machine learning models.
XGBoost Training Script Expert
Enables Claude to create optimized, production-ready XGBoost training scripts with proper data handling, hyperparameter tuning, and model validation.