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Machine Learning Fundamentals: data preprocessing project
- Modern ML operations require treating data preprocessing as a production service, not a one-off script.
- A 'data preprocessing project' involves version control, scalability, and automation for transforming raw data.
- Implementation strategies include pipeline-as-code, deployment in Kubernetes, and reproducibility through version control.
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