estimate-online-covariance
Provides sklearn-style estimators for incrementally updating covariance, correlation, precision, and location matrices from streaming observations using constant work per observat…
22 Skills found
Provides sklearn-style estimators for incrementally updating covariance, correlation, precision, and location matrices from streaming observations using constant work per observat…
Enables Python agents to update, assess, compare, and select online covariance, correlation, and precision estimators for streaming or dynamic-universe data.
Wraps positional online covariance estimators to process keyed observations whose named series can remain fixed or change dynamically over time.
Recommends covariance estimator classes for a 2-D dataset using dimension, conditioning, rank, correlation, and tail-behavior features, and exposes those features for inspection.
Guides an AI agent through end-to-end Kaggle competitions, including validation, modeling, OOF predictions, ensembling, remote notebook pipelines, artifact handoffs, submission sc…
Analyzes e-commerce reviews using 22-dimension AI tagging to extract customer profiles, pain points, VOC, product opportunities, anomaly signals, reports, dashboards, and optional…
Queries Open Library's public catalog for books, authors, works, editions, ISBNs, ratings, and cover URLs through a keyless Python CLI.
Assesses, designs, and evolves data architectures through workload analysis, platform and modeling tradeoffs, governance, data products, data mesh, event-driven flows, and migrati…
Queries TMDb for movie and television metadata, including search results, details, credits, providers, recommendations, certifications, images, and external IDs.
Guides agents in designing and operating data infrastructure, including databases, ETL/ELT pipelines, analytical SQL, data quality monitoring, migrations, storage, and model-assis…
Queries WeatherFlow Tempest station data through REST and local UDP broadcasts, including current conditions, forecasts, historical observations, and decoded real-time sensor mess…
Provides an evidence-first workflow for profiling, validating, transforming, reconciling, and documenting messy tabular, text, JSON, and relational data.
Enables agents to query Last.fm for listening history, music metadata, recommendations, charts, searches, tags, and scrobbling or track-liking actions.
Defines product metrics and measurement governance through metric trees, tracking plans, event taxonomies, instrumentation QA, dashboard contracts, and privacy-aware measurement p…
Provides a read-only CLI for discovering, querying, downloading, and analyzing public City of Raleigh datasets, civic content, transit feeds, geospatial services, public safety da…
Guides the design and improvement of human annotation programs for machine-learning datasets, covering labeling schemas, acquisition, annotator quality, disagreement, provenance, …
Enables agents to search and retrieve Japanese government open data on real estate transactions, public procurement, and e-Stat statistics through the mcp.n-3.ai MCP server.
Queries OpenSea marketplace, NFT, token, collection, account, drop, and event data through the official CLI, REST API, SDK, MCP server, or shell scripts.
Enables agents to migrate and synchronize data into SurrealDB from MongoDB, PostgreSQL, MySQL, Neo4j, Kafka, and JSONL, including full imports and incremental CDC synchronization.
Provides expert guidance for SurrealDB 3, including SurrealQL, multi-model schema design, graph and vector search, security, deployment, performance, SDKs, and ecosystem integrati…
Connects AI agents to SurrealDB through the built-in `surreal mcp` server or the standalone `surrealmcp` server, supporting local and multi-endpoint MCP integrations.
Annotates speech and TTS datasets with audio quality metrics, transcriptions, speaker labels, and filtering outputs, then generates self-contained HTML reports for dataset QA.