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kedro

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This repository showcases a case study to improve customer service via ML. It includes a guide on setting up an end-to-end ML project using MLOps best practices to ensure scalability and maintainability. The key features include a robust CI/CD/CT pipeline for continuous integration, delivery, and training, and deploying trained model as a REST API.

  • Updated Mar 9, 2024
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