solygambas/mlops-projects
Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.
This collection helps machine learning engineers understand and implement the practical aspects of building and maintaining machine learning systems. You'll work through real-world scenarios to learn how to prepare data, train models, and deploy them effectively. It's designed for professionals responsible for taking machine learning models from development into production environments.
100 stars. No commits in the last 6 months.
Use this if you are an MLOps engineer, data scientist, or machine learning practitioner looking to deepen your understanding and hands-on experience in deploying and managing ML models in production.
Not ideal if you are a business user or an academic researcher primarily focused on developing novel machine learning algorithms without the need for production implementation details.
Stars
100
Forks
19
Language
Jupyter Notebook
License
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Category
Last pushed
Mar 24, 2025
Commits (30d)
0
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