Machine learning datasets on demand tutorial with Python model example

The steps are:

Step 1: Set up the Windocks server (see getting started with Windocks)

Step 2: Set up an MLOps tool like MLFlow (see Installing MlFlow)

Step 3: Build an image with the data needed for the experiments. See the build steps here

Step 4: Collect information on the Windocks machine IP, MLFlow machine IP, user name, password, etc

Step 5: Use the file windocks\samples\machinelearning\ as the starting point for your model. It has the Python code to create a Windocks container from the image in step 2, connecting to that container and reading the data, and then running an ML algorithm on that data to train and test the data. Follow the steps in windocks\samples\machinelearning\README.txt

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