Build and Run a Docker Container for your Machine Learning Model

The idea of this article is to do a quick and easy build of a Docker container with a simple machine learning model and run it. Before reading this article, do not hesitate to read Why use Docker for Machine Learning and Quick Install and First Use of Docker. In order to start building a Docker container for a machine learning model, let's consider three files: Dockerfile, train.py, You can find all files on GitHub. The train.py is a python script that ingest and normalize EEG data in a csv file (train.csv)