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MLOps Pipeline with SageMaker, CodePipeline, and CodeBuild to optimize version control with ML models

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pranavbalu1/ML-CI-CD-Pipeline

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ML-CI-CD-Pipeline

Project: MLOps Pipeline with SageMaker, CodePipeline, and CodeBuild

  • CodeCommit: Stores all ML code and pipeline configuration files.
  • CodeBuild: Handles data preprocessing, model training, and deployment using SageMaker.
  • CodePipeline: Automates the end-to-end process, triggering the pipeline on new commits.
  • SageMaker: Used for training, tuning, and deploying the ML models.
  • CloudWatch: Monitors model performance and raises alarms if the model quality drops.

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MLOps Pipeline with SageMaker, CodePipeline, and CodeBuild to optimize version control with ML models

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