Using a repeatable code-first approach to automated machine learning on Azure to classify Die Hard as either a Christmas movie or a non-Christmas movie.
Let’s explore what a sample usage of the Azure ML Python SDK looks like and how you can use Python and Azure Machine Learning Studio to track and version datasets and machine learning models, discover new models that perform well with your data, evaluate those models, and deploy them as a web service - all without having to leave your IDE.
How to create, retrieve, and delete compute instances and clusters using the Azure ML Python SDK
A short tutorial on converting from Pandas DataFrames to Azure DataSets (or vice versa)
All roads to machine learning on Azure with the Python SDK start here