ai-ml-pro
CommunityEffortlessly build and deploy production-ready ML systems.
AuthorhaJ1t
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill unit provides a comprehensive toolkit for building and deploying production-ready ML systems, addressing challenges in data pipelines, model evaluation, and MLOps.
Core Features & Use Cases
- End-to-End ML Workflows: Facilitates the creation of training pipelines, model serving endpoints, and experiment tracking systems.
- Model Deployment and Monitoring: Supports model versioning, A/B testing, and monitoring for data drift and concept drift.
- Use Case: Imagine you're tasked with deploying a new ML model for image recognition. This Skill unit guides you through the entire process, from setting up data pipelines to deploying the model with monitoring and version control.
Quick Start
Run the 'train_model' script within the 'src/pipelines/' directory with the provided configuration file 'experiment_001.yaml'.
Dependency Matrix
Required Modules
scikit-learntensorflowpytorchmlflowmlrun
Components
scriptsreferencesassets
💻 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-pro Download link: https://github.com/haJ1t/senior-dev-squad-skills/archive/main.zip#ai-ml-pro Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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