ml-project-lifecycle
OfficialStructure ML projects with best practices.
AuthorDTMC-marketplace
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured framework for planning and executing Machine Learning projects, ensuring adherence to industry best practices and methodologies like CRISP-DM and MLOps.
Core Features & Use Cases
- Methodology Guidance: Offers detailed phases and activities for CRISP-DM, TDSP, and MLOps.
- Planning Templates: Provides a comprehensive Markdown template for ML project plans.
- MLOps Components: Outlines key components of an MLOps architecture and maturity levels.
- Use Case: A data science team starting a new customer churn prediction project can use this skill to generate a detailed project plan, define phase gates, and outline their MLOps strategy.
Quick Start
Use the ml-project-lifecycle skill to generate a project plan for a new ML initiative.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: ml-project-lifecycle Download link: https://github.com/DTMC-marketplace/governance/archive/main.zip#ml-project-lifecycle Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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