ai-ml-data-science
CommunityTransform data into validated, production-ready ML models.
Data & Analytics#data science#machine learning#feature engineering#MLOps#EDA#model evaluation#LightGBM#SQLMesh
Authorvasilyu1983
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Data science projects often get stuck between experimentation and production, lacking structured workflows for data transformation, feature engineering, and robust model evaluation. This Skill provides end-to-end data science patterns for production-ready ML.
Core Features & Use Cases
- End-to-End ML Workflow: Covers problem framing, structured EDA, feature engineering (with feature stores), model selection (LightGBM-first), and comprehensive evaluation with slice analysis and model cards.
- SQL Transformation with SQLMesh: Build staging, intermediate, and marts layers using SQLMesh for robust, version-controlled data transformations and incremental models.
- MLOps Integration: Set up CI/CD, continuous training (CT), and continuous monitoring (CM) with automated drift detection to ensure train-serve parity and model reliability in production.
Quick Start
Use the ai-ml-data-science skill to outline an EDA workflow for a new tabular dataset, including steps for data profiling and quality checks.
Dependency Matrix
Required Modules
None requiredComponents
referencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-ml-data-science Download link: https://github.com/vasilyu1983/AI-Agents-public/archive/main.zip#ai-ml-data-science Please download this .zip file, extract it, and install it in the .claude/skills/ directory.