Azure Machine Learning
An Azure machine learning service for building and deploying models.
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@Jeremy Becker To train the model you will include the column value that you would want to predict in your training experiment and in the settings of your train model module, if you are using the designer the column name will be set as label. After the model is trained you can compare the actual values with predicted labels and make changes in your experiments to publish or deploy an inference endpoint to predict the values, in this inference deployment you will remove the column and the trained model will predict the labels.
I would recommend trying the basic regression model creation with ML designer by following the steps in this course. It is mostly drag and drop scenarios to build your experiment and endpoint with detailed steps mentioned in the course while using the designer. I hope this helps!!
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