Building and deploying a machine learning model in a Docker container


Before performing the tasks let’s understand some basics :

What is Docker?

Applications of Docker -

Now let’s look into our requirements……

Tools used to perform the tasks-

Prerequisites :

The output when the function head() is performed on the dataset
The output when the function info() is performed on the dataset

Let’s get to performing the tasks!

1. Pull the Docker container image of CentOS image from Docker Hub and create a new containers

2. Install the Python software on the top of docker container

3. In Container copy/create the machine learning model

The code inside the python file for the model

Conclusion :

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