Here we, will run a ML model inside a Docker container, but before that we need to setup the whole environment for running the ML model
Let’s see how?
👉🏻Do focus, on the highlighted commands…
Run the docker image and install python3 and git on it.
Create a new folder, and pull the Machine Learning code and the training dataset from the GitHub account repository.
Now Install the necessary library files like pandas, numpy, joblib, sklearn for running the Machine Learning code.
Now run the ML model using command #python3 filename.py
So here we go, Model Successful trained inside the Docker container👩🏻
Thanks for the read🙃…