End-to-End Deep Learning Project: Kidney Disease Classification with MLflow, DVC, and Deployment

End-to-End Deep Learning Project: Kidney Disease Classification with MLflow, DVC, and Deployment

Krish Naik via YouTube Direct link

- Dockerization & AWS CICD Deployment

14 of 15

14 of 15

- Dockerization & AWS CICD Deployment

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Classroom Contents

End-to-End Deep Learning Project: Kidney Disease Classification with MLflow, DVC, and Deployment

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  1. 1 - Introduction
  2. 2 - Project Introduction
  3. 3 - Github Repository Setup
  4. 4 - Project Template Creation
  5. 5 - Requirements Installation & Project Setup
  6. 6 - Logging, Exception & Utils Modules
  7. 7 - Project Workflows
  8. 8 - Data Ingestion Component
  9. 9 - Prepare Base Model Component
  10. 10 - Model Trainer Component
  11. 11 - Model Evaluation Component & MLflow Integration
  12. 12 - DVC Pipeline
  13. 13 - Prediction Pipeline & User App
  14. 14 - Dockerization & AWS CICD Deployment
  15. 15 - Conclusion

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