40 AI tools for pandas
Expert agent for implementing, optimizing, and deploying CatBoost classifiers with native categorical handling and GPU acceleration.
Statistical sales quota planning: territory allocation modeling, capacity-constrained optimization, and attainability analysis.
A skill for statistical visualization with Seaborn - relational, distribution, categorical, regression, and matrix plots.
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Creates and edits Excel files with financial modeling standards, formula verification, and pandas/openpyxl workflows.
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.
Expert Python 3.12+ development guidance using modern 2024/2025 tooling including uv, ruff, FastAPI, and async patterns.
An expert data engineer for scalable batch/streaming pipelines, lakehouse architectures, dbt/Airflow orchestration, and cloud-native data platforms.
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.
A prompt chain that routes RAG pages with images, graphics, or tables to GPT-4o vision instead of text-only extraction, via Pinecone.
A notebook indexing OpenAI embeddings into Elasticsearch and running kNN semantic search over them.
A notebook building RAG on Elasticsearch semantic search, feeding top kNN results to Chat Completions for generated answers.
