35 AI tools for pandas
Skill for cash-flow forecasting - collections modeling, Monte Carlo scenarios, stress testing, and Excel automation.
Expert agent for implementing, optimizing, and deploying CatBoost classifiers with native categorical handling and GPU acceleration.
Skill for correlation analysis - method selection, significance testing, partial/rolling correlation, and visualization.
Skill for statistical distribution analysis - identification, multi-distribution fitting, testing, and diagnostics.
Skill for production-ready scikit-learn feature engineering pipelines - custom transformers, safe target encoding, and deployment.
A Kubeflow Pipeline skill covering component development, conditional/parallel orchestration, and production deployment on KFP SDK v2.
A feature scaling skill covering StandardScaler/MinMax/Robust selection, custom outlier-aware scalers, column-wise pipelines, and leakage prevention.
A schema drift detection skill for data pipelines, covering Python/SQL/Spark detectors and Airflow/Great Expectations integration.
Skill for datetime feature engineering - calendar, cyclical, lag, rolling-window, and time-since-event features for ML.
CSV Editor gives AI assistants 39 tools for stateful CSV editing - filtering, transforming, quality scoring - with sessions and undo/redo.
An MCP server for automated machine learning: data analysis, preprocessing, model selection, and hyperparameter tuning.
