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Learner Reviews & Feedback for Serve Scikit-Learn Models for Deployment with BentoML by Coursera Project Network
About the Course
This is a hands-on project on serving your scikit-learn models for deployment with BentoML. By the time you complete this project, you will be able to build logistic regression models for text classification, serve scikit-learn models with BentoML's REST API model server, and containerize model servers with Docker for production deployments.
Prerequisites: In order to successfully complete this project, you should be competent in the Python programming language, be familiar with basic machine learning concepts, and have built predictive models with scikit-learn.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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1 - 2 of 2 Reviews for Serve Scikit-Learn Models for Deployment with BentoML
By Boban D
•Jan 5, 2021
Does not work! After opening Rhyme, there is a red banner stating "Ended on Oct. 08 2020, at 12:30am". So the interactivive window cannot be openend. On the Course description page there is a short note that "...This course works best for learners who are based in the North America region." It would have been nice if the description would say, AT THE BEGINNING, that the course ended and that it is not accessible from outside of the US.
By Shabie I
•Feb 17, 2021
I couldn't use the workspace
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