Training in Machine
Learning model can be as easy as
loading data and running one line of code using packages like scikit learn. However, in a production
machine learning scenario, you need to consider creating reusable training scripts for multiple computing
environments. Logging model
performance metrics during training and
evaluation processes, and tracking model versions. In this lesson,
you will learn how to use a script run config to run a model training script as an Azure Machine
Learning experiment. Create reusable parameterized
training scripts and register trained models.