Skip to content

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

License

Notifications You must be signed in to change notification settings

Vedant-S/MLOps-Contiguous-Accuracy-Attainer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 

Repository files navigation

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 | [email protected]

About

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

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages