35 AI tools for pandas
Design anomaly rules for time series and correlated metrics using adaptive baselines, statistical methods, and confidence scores.
An AutoML pipeline expert that designs modular, production-ready ML pipelines - H2O, MLflow, Airflow orchestration - from ingestion to deployment.
Skill for cash-flow forecasting - collections modeling, Monte Carlo scenarios, stress testing, and Excel automation.
Create, edit, and analyze Excel workbooks with formulas, template-aware formatting, and LibreOffice recalculation checks.
Create interactive Python charts with Plotly Express or Graph Objects, then customize layouts and export HTML or static images.
Analyze graph structure with NetworkX guidance for building networks, finding paths, measuring centrality, and visualizing relationships.
Build CatBoost classifiers with categorical feature handling, hyperparameter tuning, model interpretation, and production prediction patterns.
Categorical Variable Encoding Expert matches one-hot, target, binary, and embedding encoding to cardinality and model type.
Skill for correlation analysis - method selection, significance testing, partial/rolling correlation, and visualization.
CSV Editor gives AI assistants 39 tools for stateful CSV editing - filtering, transforming, quality scoring - with sessions and undo/redo.
MCP server for automated machine learning on CSV data: analysis, preprocessing, model selection, evaluation, hyperparameter tuning and prediction.
