ml-pipeline-expert
CommunityBuild 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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