What Is Client-Server Architecture?
October 3, 2024
Article
Instructor: Arimoro Olayinka Imisioluwa
Included with
Recommended experience
Intermediate level
An intermediate understanding of machine learning concepts and model development and a basic understanding of using the command line.
Recommended experience
Intermediate level
An intermediate understanding of machine learning concepts and model development and a basic understanding of using the command line.
Prepare and build a stacked ensemble model for deployment.
Version and deploy a machine learning model using vetiver.
Predict and use monitoring tools and techniques to track model performance.
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Only available on desktop
Did you know that over 70% of machine learning models never make it into production?
Are you ready to defy the odds and become a master at deploying machine learning models in R? This Guided Project was created to help data professionals accomplish efficient model deployment using Vetiver in R. More specifically, in this 2-hour long project-based course, you will learn how to build an ensemble model, set up the deployment framework, deploy the model using various methods, and monitor model performance. To achieve this, you will create a fully automated deployment pipeline by working through a realistic scenario of deploying a hospital readmission model in a healthcare setting. This project is unique because it combines hands-on experience with the aim to bridge the gap between machine learning development and production deployment. In order to be successful in this project, you will need a solid understanding of R programming, basic machine learning concepts, and familiarity with building machine learning models using tidymodels.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Set up and overview of the project
Load the model's components
Create a stacked model and evaluate the model on the test set
Create a vetiver object, store and version the model
Create a REST API for deployment
Create a pins board for deployment
Deploy the model via Docker
Predict from the model's endpoint
Compute, pin, and plot monitoring metrics
Build a monitoring dashboard
An intermediate understanding of machine learning concepts and model development and a basic understanding of using the command line.
The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Guided Projects are not eligible for refunds. See our full refund policy.
Financial aid is not available for Guided Projects.
Auditing is not available for Guided Projects.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.