{"product_id":"ai-ml-data-science-suite-transform-raw-data-to-models","title":"AI \u0026 ML Data Science Suite: Transform Raw Data to Models","description":"\u003ch3\u003eProduct Overview\u003c\/h3\u003e\n\u003cp\u003eThe AI \u0026amp; ML Data Science Suite transforms raw data and questions into validated, documented models ready for production use. This skill facilitates comprehensive workflows including exploratory data analysis (EDA), feature engineering, model selection, evaluation, and seamless handoff to production environments.\u003c\/p\u003e\n\n\u003ch3\u003eWhat This Skill Does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eEDA Workflows:\u003c\/strong\u003e Enables structured data exploration with drift detection using tools like Pandas and Great Expectations.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eFeature Engineering:\u003c\/strong\u003e Constructs reproducible feature pipelines while preventing data leakage, ensuring train-serve parity.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eModel Selection:\u003c\/strong\u003e Provides strong tabular defaults and applies complexity incrementally as warranted.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eEvaluation and Reporting:\u003c\/strong\u003e Conducts slice analysis, assesses uncertainty, and generates model cards and production metrics.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSQL Transformation:\u003c\/strong\u003e Utilizes SQLMesh for intermediate processes across staging and marts layers.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eMLOps:\u003c\/strong\u003e Supports continuous integration\/deployment (CI\/CD), continuous training (CT), and continuous monitoring (CM) practices.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eProduction Patterns:\u003c\/strong\u003e Implements data contracts, ensures data lineage, and enables feedback loops and streaming features.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho It Is For\u003c\/h3\u003e\n\u003cp\u003eThis skill is designed for developers and data science teams using AI coding agents such as Claude Code, Cursor, and Codex, who require robust tools for data-driven modeling and operational integration.\u003c\/p\u003e\n\n\u003ch3\u003eUse Cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eData scientists conducting initial data profiling and quality checks.\u003c\/li\u003e\n  \u003cli\u003eEngineers needing to establish and maintain feature parity between training and serving environments.\u003c\/li\u003e\n  \u003cli\u003eTeams deploying models into production, requiring automated monitoring for drift detection and retraining triggers.\u003c\/li\u003e\n  \u003cli\u003eOrganizations aiming to document and evaluate models systematically for audit and improvement cycles.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical Details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eTools: LightGBM, CatBoost, scikit-learn, PyTorch, Polars, lakeFS for data versioning.\u003c\/li\u003e\n  \u003cli\u003eData workflow emphasis on feature stores, automated retraining, and drift monitoring with Evidently.\u003c\/li\u003e\n  \u003cli\u003eIntegrates modern ML operations, supporting agentic ML loops consisting of plan, execute, evaluate, and improve steps.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003ejoaoguirunas\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/joaoguirunas\/team-os\" rel=\"nofollow noopener\" target=\"_blank\"\u003ejoaoguirunas\/team-os\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":53053861527863,"sku":"MCP-JOAOGUIRUNAS-TEAM-OS-AI-ML-DATA-SCIENCE","price":31.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/5ec90vUEez3acvF_HVO5e_6a8cd746bab845dea83c027fbf2d92cb.jpg?v=1790499976","url":"https:\/\/mcpcart.com\/products\/ai-ml-data-science-suite-transform-raw-data-to-models","provider":"SPF PRO","version":"1.0","type":"link"}