This repository offers a comprehensive solution for chest disease detection, covering data ingestion, preprocessing, model training, and CI/CD deployment pipelines. From raw data to automated deployment, streamline your chest disease detection process with our end-to-end solution.
What is the KalyanM45/End-to-End-Chest-Disease-Classification GitHub project? Description: "This repository offers a comprehensive solution for chest disease detection, covering data ingestion, preprocessing, model training, and CI/CD deployment pipelines. From raw data to automated deployment, streamline your chest disease detection process with our end-to-end solution.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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