A collection of practical data science notebooks and scripts covering diverse industry applications. It provides reference architectures for machine learning models and data processing pipelines.
Tech Stack
UnknownAI, ML & Data
Why Data-Science-On-Action?
• Broad domain coverage
• Executable code examples
• No platform lock-in
Limitations
• Requires local environment setup
• Variable documentation quality
• Dependency management overhead
11/15/2024
Last Update
0
Forks
0
Issues
Unknown
License
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