Last week, we stepped out of Azure ML to look at building ML models in Python using scikit-learn. Today, we focus on getting the trained model back into Azure ML - the place where my ML solutions live in a managed, enterprise environment.
On this fourth Azure ML Thursday series we move our ML solution out of Azure ML and set our first steps in Python with scikit-learn. Today, we look at using "just" Python for doing ML, next week we bring the trained models to Azure ML. You'll notice there's a lot more to tweak and improve once you do your Machine Learning here! ML in Python is a quite large topic, so be many subjects will only be touched lightly. Nonetheless, I try to give just enough samples and basics to get your first ML models running in there!