Machine learning dependencies are a hassle, whether ensuring that the right versions are installed on all systems or that versions of dependencies in your projects are still compatible with the version on your cloud-based system when you deploy. But with containers, you can create a clean, virtual environment to set up and train your neural networks in. To try it yourself, these exercises start with a "Hello World" app of machine learning. You build, deploy and train your neural network, and then deploy it to your local OpenShift environment. In the previous exercises in Kubernetes with OpenShift 101 and Kubernetes with OpenShift 101 Node-RED you got an introduction to Minishift, a Node.js This tutorial can help you understand how to deploy and manage a machine learning app on Minishift and Red Hat OpenShift on IBM Cloud .