Vedant-S / MLOps-Contiguous-Accuracy-Attainer

Project Includes python script (which runs in an MLOps environment) with the task of auto training Models until a desired accuracy is achieved.

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MLOps Contiguous Accuracy Attainer:


Project Includes python script (which runs in an MLOps environment) with the task of auto training Models until a desired accuracy is achieved. DevOps concepts and tools such as Docker and Jenkins have been integrated to the Deep Learning Model to attain this powerful setup.

Project completed under LinuxWorld Informatics Ltd. - MLOps Internship.


Author:


+ Vedant Shrivastava | vedantshrivastava466@gmail.com

About

Project Includes python script (which runs in an MLOps environment) with the task of auto training Models until a desired accuracy is achieved.

License:MIT License


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Language:Python 100.0%