GitHub / zacharyvunguyen / Production-Ready-ML-Pipeline-on-GCP-Baby-Weight-Prediction
In this project, I developed a completed Vertex and Kubeflow pipelines SDK to build and deploy an AutoML / BigQuery ML regression model for online predictions. Using this ML Pipeline, I was able to develop, deploy, and manage the production ML lifecycle efficiently and reliably.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zacharyvunguyen%2FProduction-Ready-ML-Pipeline-on-GCP-Baby-Weight-Prediction
PURL: pkg:github/zacharyvunguyen/Production-Ready-ML-Pipeline-on-GCP-Baby-Weight-Prediction
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 16.1 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: automl, bigquery, bigqueryml, end-to-end-machine-learning, google, google-cloud-platform, machine, machine-learning, ml-pipelines, productionml, streamlit, vertex-ai