Geometric Deep Learning is able to draw insights from graph data. That includes social networks, sensor networks, the entire Internet, and even 3D Objects if we consider point cloud data to be a graph. Ill explain how it works via a demo of me using a graph convolutional network to classify people by their interest in sports teams as well as a 3D object classification demo. At its core, it comes down to being able to learn from nonEuclidean data. Euclids laws help define certain types of data, so Ill cover some geometry background as well. Enjoy