38 AI tools for pandas
Expert agent for implementing, optimizing, and deploying CatBoost classifiers with native categorical handling and GPU acceleration.
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Creates, edits and analyzes .xlsx files with zero formula errors, financial-model color/formatting standards, and mandatory recalculation.
AI skill for designing anomaly detection rules - Z-score, IQR, seasonal decomposition, and correlation-based methods with alerting.
A quota planning expert that builds statistical, ML-based sales quota allocation models - regression, time-series forecasting, and optimization.
Builds algorithmic trading strategies: risk metrics, portfolio optimization, backtesting, and options pricing.
A skill for building publication-quality Seaborn statistical plots, from distribution analysis to multi-panel FacetGrid layouts.
An XGBoost training script expert that builds a full pipeline - hyperparameter search, early stopping, evaluation, and model saving - in one class.
Modern Python 3.12+ expert skill: uv, ruff, async patterns, FastAPI/Django, testing, and production deployment practices.
MCP server giving AI assistants 39 stateful CSV tools - load, transform, analyze, validate, with undo/redo and auto-save.
An MCP server for automated machine learning: data analysis, preprocessing, model selection, and hyperparameter tuning.
Generate and save OpenAI embeddings for a large dataset, using 1,000 Amazon fine-food reviews as the example.
Notebook indexing OpenAI Wikipedia embeddings into Elasticsearch and running kNN semantic search over them.
LlamaIndex loader that answers natural-language questions over a pandas DataFrame.
