Data Science Model Deployments and Cloud Computing on GCP - Lab - Workflow Template Introduction

The video tutorial introduces fraud detection and input validation, followed by an overview of GCP Workflows, a platform for process automation. It explains how to define workflow steps using YAML, focusing on data validation and model training. The tutorial details the use of HTTP GET and POST requests within workflows and demonstrates how to pass data between steps. The session concludes with a brief on the next focus area, model training.

Describe how the results from the data validation step are used in model training.

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What is the role of the variable 'data validation result' in the workflow?

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