- update config.yaml
- update params.yaml
- update the entity
- update the configuration manager in src config
- update the components
- update the pipeline
- update the main.py
- update the dvc.yaml
-
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This project aims to build a robust and scalable machine learning pipeline for classifying chest X-rays to detect cancer. By leveraging MLflow and DVC (Data Version Control), the project ensures reproducibility, version control, and efficient management of the entire machine learning lifecycle.
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SaiSravanthiChandana/Chest-Cancer-Classification-using-MLflow-DVC
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This project aims to build a robust and scalable machine learning pipeline for classifying chest X-rays to detect cancer. By leveraging MLflow and DVC (Data Version Control), the project ensures reproducibility, version control, and efficient management of the entire machine learning lifecycle.
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