In this article we will explain the types of problems you can solve using the Azure ML Two-Class (or Binary) and Multi-Class Classification algorithms and help you build a basic model using them. Hi, I'm Scott Davis, a Data Scientist for Valorem Reply and in this post I'm going to show you step-by-step just how easy (no coding required) it is to make a production-ready machine learning model in Azure ML using a private ML model I've created just for this post. Before we can jump in, you'll need: Before we get going it is good to understand that there are A LOT of things you can do with Azure ML. The purpose of this exercise is to get you started quickly with the tool by building a simple model using basic functionality in Azure ML. In future posts we'll dive deeper into the tool and using Data Science concepts to make it work for your business needs.

Select the Categorical option to specify that the values in the selected columns should be treated as categories, not as results, scores, labels, or other values. As a result, the actual data values will not be changed, but machine learning algorithms will handle the data differently. For example, suppose you have a column containing values of 0 and 1. If you know that those numbers actually represent the coding for some binary variable (such as Smoker vs. Nonsmoker), you should flag them as Categorical. As a result, other values in the table could then be categorized by using the binary variable.