42 AI tools for pandas
Data Analytics Stack for data-driven decisions. Includes PostgreSQL, ClickHouse, Grafana, and a Research Agent for insights.
Expert in developing and implementing anomaly detection rules using statistical methods and machine learning approaches.
Expert agent that designs and implements production-ready AutoML pipelines with H2O, AutoGluon, and MLflow, handling data validation, feature engineering, and
Predict future cash positions, identify financing needs, and optimize working capital with dynamic forecasting models.
Expert agent for implementing, optimizing, and deploying CatBoost classifiers with native categorical handling and GPU acceleration.
Expert agent for encoding categorical variables in machine learning with one-hot, target, binary, frequency, and embedding techniques to prevent data leakage
AI expert for correlation analysis, selecting methods, interpreting results, and preparing data for statistical insights.
Expert agent for building and orchestrating data pipelines with Dagster, focusing on asset-oriented development and Software-Defined Assets (SDA).
Expert agent that generates comprehensive data profiling reports with statistical analysis, anomaly detection, and quality scoring for datasets.
Analyze data distributions with expert statistical identification, fitting, and testing. Visualize results for clear insights.
MCP server exposing automated machine learning tools for data analysis, preprocessing, model training (regression/classification), hyperparameter tuning, and
AI CSV editor with 40+ tools for data manipulation, analysis, and validation. Supports gigabyte-sized files, autosave, and undo/redo.
A Jupyter notebook workflow that indexes OpenAI Wikipedia embeddings into Elasticsearch, encodes questions using OpenAI's text-embedding-3-small model, and
A Jupyter notebook workflow that retrieves vector embeddings from datasets, demonstrated with 1,000 Amazon fine-food reviews for text encoding and reuse.
A prompt workflow that indexes OpenAI Wikipedia embeddings into Elasticsearch, performs semantic search with kNN queries, and sends retrieved documents to GPT
A Retrieval-Augmented Generation cookbook that uses GPT-4o vision modality and Pinecone to extract and interpret text, images, graphics, and tables from PDF
Jupyter notebook demonstrating how to retrieve, parse, and visualize OpenAI Completions Usage API and Costs API data using pandas and matplotlib for custom
