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
In this article I’ll introduce you to Anaconda and show you how get a standardized Python data science environment up and running on your machine in minutes.