mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Learn to create and improve machine learning applications from design to deployment through practical lessons.
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mlops-course has 3.4k stars on GitHub. It has been forked 599 times. mlops-course is written mainly in Jupyter Notebook. It has been in active development since 2020. mlops-course is available under the MIT license. Its main topics are data-engineering, data-quality, data-science, deep-learning.
What is mlops-course?
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Is mlops-course open source?
mlops-course is an open-source project. It is released under the MIT license.
Is mlops-course free?
Yes. mlops-course is free and open source — you can use, modify and self-host it.
What license does mlops-course use?
mlops-course is available under the MIT license.
What language is mlops-course written in?
mlops-course is written mainly in Jupyter Notebook.
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