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Machine Learning Accelerator Tutorials

By Google
Demonstrate Machine Learning Accelerator application with these BigQuery Public Datasets.
Demonstrate Machine Learning Accelerator application with these BigQuery Public Datasets.

Version

v1.0.0

Release Notes

Category

Blocks

ETL Providers

N/A

SQL Dialects

Google BigQuery and BigQuery ML

Overview

Install this block for free by importing the project(s) from the GitHub repository linked at the top of the listing.

This is not an officially supported Google product.

This Looker Model defines Explores based on several BigQuery public datasets and is intended to demonstrate how business analysts can use the Machine Learning Accelerator (available for download through Looker Marketplace) to access BigQuery and Vertex AI's machine learning capabilities. The data that powers the block is only available in BigQuery and will work with any Looker instance with an existing BigQuery connection.

To use these Explores with the Machine Learning Accelerator application, this model must be configured to use the same BigQuery connection as the application. Example Explores with type of Machine Learning model include:

  • Purchase Propensity (E-Commerce): classification model
  • Census Income: classification model
  • Penguins: regression model
  • Machine Failure: classification model
  • Telco Customer Churn: classification model

Step by Step instructions for implementation are in the Block Readme

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