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      <title>Self-Hosted ML Pipeline Orchestration: Kubeflow Pipelines vs Metaflow vs ZenML</title>
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      <description>&lt;p&gt;Machine learning projects quickly grow from simple notebooks into complex, multi-step workflows. Data preprocessing, feature engineering, model training, evaluation, and deployment all need to be orchestrated reliably, reproducibly, and at scale. While cloud providers offer managed ML pipeline services, self-hosted alternatives give you full control over your data, infrastructure, and costs.&lt;/p&gt;</description>
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