Azure - How to create ML workspace

Let's Flair it Azure way :

Microsoft Azure has all together a different set of services which helps you perform Machine Learning related work effectively named ML Studio.

Here you can start with getting the data to deploying a ML model.Azure Machine Learning provides a cloud-based platform for training, deploying, and managing machine learning models.

Azure Machine Learning is a platform for operating machine learning workloads in the cloud.

Steps Involved :

1) In Azure portal create a new Machine Learning resource, specifying the subscription, resource group and workspace name.

2) You can use Python SDK to create workspace or using Azure COMMAND LINE INTERFACE as below :

Python :

 

 

 

 

 

 

 

 

 

 Azure cli :

 

In this article we discussed how to create a workspace in Azure ML Studio to run our ML model experiments. 

See you in next article, till then keep Learning, keep Exploring!!!!!!!