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Dockerize a Python ML Model
DOCKER COMMANDS 1.Check Docker version : docker --version Can check the docker version. 2.Create a Dockerfile in your project : 3.Docker Login : docker login Enter the login id and password 4.Build Docker image : docker build -t thanusri7012/24mcr115:latest . 5.List Docker images : docker images 6.Push Docker image to DockerHub : docker push thanusri7012/24mcr115 7.Open Docker Desktop to view images and containers : 8.Run the Docker container : 9.Verify the Docker image and running container in Docker Desktop (GUI)
DOCKER COMMANDS
1.Check Docker version :
docker --version
Can check the docker version.
2.Create a Dockerfile in your project :
3.Docker Login :
docker login
Enter the login id and password
4.Build Docker image :
docker build -t thanusri7012/24mcr115:latest .
5.List Docker images :
docker images
6.Push Docker image to DockerHub :
docker push thanusri7012/24mcr115
7.Open Docker Desktop to view images and containers :
8.Run the Docker container :
9.Verify the Docker image and running container in Docker Desktop (GUI)
