ml-pipeline-expert

Community

Build and deploy ML models.

AuthorColbyRReichenbach
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the entire machine learning pipeline, from data preparation and model training to deployment and monitoring on Google Cloud's Vertex AI.

Core Features & Use Cases

  • Feature Engineering: Create robust feature sets using SQL in BigQuery.
  • Model Training: Train and evaluate models using Python and scikit-learn.
  • Deployment: Deploy models as endpoints on Vertex AI.
  • Monitoring: Track model performance and detect data drift.
  • Use Case: Train a pricing prediction model for creator partnerships, deploy it to production, and set up monitoring to ensure its accuracy over time.

Quick Start

Use the ml-pipeline-expert skill to train a pricing model using the provided feature data.

Dependency Matrix

Required Modules

google-cloud-bigquerygoogle-cloud-aiplatformgoogle-cloud-storagescikit-learnpandasjoblib

Components

scriptsreferences

💻 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-pipeline-expert
Download link: https://github.com/ColbyRReichenbach/sponsorgraph/archive/main.zip#ml-pipeline-expert

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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