khuyentran1401/codecut-blog
45+ production-ready tutorials on data science, MLOps, and AI tools. All code is executable and adaptable for real projects.
This collection offers over 45 practical guides and code examples to help you build and deploy data science, MLOps, and AI solutions. You get step-by-step tutorials and executable code that you can adapt for your projects, covering everything from data engineering to machine learning and LLM applications. It's for data scientists, machine learning engineers, and AI practitioners looking for production-ready solutions.
Use this if you are a data professional who needs concrete, executable examples to understand and implement various data science, MLOps, and AI tools in your projects.
Not ideal if you are looking for a conceptual overview without direct code implementation or if you are not comfortable working with Python notebooks.
Stars
22
Forks
6
Language
Jupyter Notebook
License
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Category
Last pushed
Mar 10, 2026
Commits (30d)
0
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