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\nData Science Model Deployments and Cloud Computing on GCP - Lab - Final Solution Deployment Using Workflow and App Engine\n

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\nIn this lab, we will deploy the final solution for fraud detection using Workflow and App Engine. By the end of this lab, you will have a better understanding of how to use Workflow and App Engine to deploy machine learning solutions for...\nIn this lab, we will deploy the final solution for fraud detection using Workflow and App Engine. By the end of this lab, you will have a better understanding of how to use Workflow and App Engine to deploy machine learning solutions for real-world use cases.

This clip is from the chapter \"Data Science Models with Google App Engine\" of the series \"Data Science Model Deployments and Cloud Computing on GCP\".This section focuses on data science models with Google App Engine.\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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12:28
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Grade
Higher Ed
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Subjects
Social Studies & History
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Media Type
Instructional Videos
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Source:
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\nPackt - Cloud & Networking\n\n
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Date
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2023
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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data science
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Additional Tags

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model deployments, cloud computing, google cloud platform, kubeflow, spark, serverless, google app engine, cloud functions, cloud run, datastore, microservice architecture, event driven architecture, machine learning workflows, dataproc, airflow/composer, vertex ai, cloud scheduler, feel free, classification report, input data, big query, f1 score, pickle file, data validation, total attributes, model accuracy, pretty quick, serialized model, standard environment, post request, select star, python script, class column, model training, output valid, pretty, training, model, output, class, method, application, pandas, function, deployed, train
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Classroom Considerations

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Best For: Explaining a topic
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