Home AI Courses MLOps in R: Deploying machine learning models using vetiver

MLOps in R: Deploying machine learning models using vetiver

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Acquire proficiency in the development, deployment, and monitoring of machine learning models in real-world applications through automated pipelines.

Key AI Functions:vetiver,model deployment,rstudio

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Description for MLOps in R: Deploying machine learning models using vetiver

Developing a Stacked Ensemble Model: Comprehend the process of preparing and constructing a layered ensemble model for deployment.
Versioning and Deployment with Vetiver: Acquire the knowledge necessary to version and deploy machine learning models using Vetiver, thereby guaranteeing seamless updates and management.
Monitoring and Predictive Analytics: Utilize methodologies to anticipate and supervise model functionality, guaranteeing consistent precision over time.
Pipeline for Automated Deployment: Utilize realistic scenarios, such as the deployment of a hospital readmission model, to establish and effectively manage a fully automated deployment pipeline.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Coursera Project Network

Duration: 2 hours at your own pace

Schedule: Hands-on learning

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