Cool.

The dataset we are using to create the model has 7 different dimensions. Creating a model is also known as training a model.

On the right, we are visualizing the variables in a scatterplot matrix to show the relationships between each pair of dimensions.

There are clearly patterns in the data, but the boundaries for delineating them are not obvious.

Finding patterns in data is where machine learning comes in. Machine learning methods use statistical learning to identify boundaries.

One example of a machine learning method is a decision tree. Decision trees look at one variable at a time and are a reasonably accessible (though rudimentary) machine learning method.