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Accuracy Achiever is an Automation Project of MLOps build by Integrating Machine Learning and DevOps.

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Accuracy-Achiever : MLOps

In this repository I have uploaded python code which I have used for my setup of accuracy achiever. In this setup I have tried to create an environment such that It will automatically train my model and it will train utill it gets the desired accuarcy. For this setup I used DevOps tools. I have integrated DeepLearning model with DevOps tools like docker and jenkins.

In this Project I have created a docker image with deepLearning libraries like tensorflow2.0, scikit-learn, keras, etc and uploaded the image in my DockerHub Profile. I have created two images named alex43/ubuntu-tensorflow2.0 and alex43/ubuntu-deeplearning-env. For this Project I have used the deeplearning-env image.

To Download the image in your system write the command given below :
docker pull alex43/ubuntu-deeplearning-env

For the demo of this project click here.

The Project has also being recognised by Jenkins Community and you can read the complete article from here. Also I recieved swags from Jenkins Is The Way for this project.

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Accuracy Achiever is an Automation Project of MLOps build by Integrating Machine Learning and DevOps.

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