Connection of Machine Learning Model with docker.

Task 01 👨🏻‍💻

Task Description 📄

👉 Pull the Docker container image of CentOS image from DockerHub and create a new container

👉 Install the Python software on the top of docker container

👉 In Container you need to copy/create machine learning model which you have created in jupyter notebook

👉 Create a blog/article/video step by step you have done in completing this task.

*TASK*

First of all we have to install the docker in our virtual of of redhat linux operating system.

After this we want to pull the docker in centos.

• Now we have to run the docker and put it into the new container.

• After this we have to install the python in this container.

• Now we have to install various libraries of python to solve the machine learning problem.

• Now after this installation we have to create one folder inside the python directory that will known as our main code of the machine learning model or the concept of that machine learning model.

• Now our program is ready and the only task remain is to execute the machine learning model.

• So this was the desired output of the code.
• In this way we can train the machine learning model and launch it with the docker.