Unleash the Power of Azure ML: Python Basics for Beginners

Author(s): Durgesh Samariya

Originally published on Towards AI.

A Hands-On Guide to Getting Started with Azure Machine Learning Using Python — Mastering Azure Machine Learning: Hands-On Python Guide
Photo by Fatos Bytyqi on Unsplash

Hello Everyone!

Welcome to the exciting Azure Machine Learning Blog Series — Mastering Azure Machine Learning: Hands-On Python Guide.

In this first tutorial, I’ll take you through the basics of using Python with Azure ML, empowering you to kickstart your journey into machine learning in the cloud. By the end of this tutorial, you’ll have an understanding of how to leverage Azure ML for building and deploying machine learning models with Python.

Before I proceed with this article, ensure you have the following handy.

Azure Account (You can sign up for a free account)Basic understanding of Python Programming

Let’s create an AzureML workspace to get started.

Log in with Azure Portal → https://portal.azure.comClick on “Create Resource”

3. Search for “Machine Learning” and Select “Machine Learning Studio”.

4. Click on “Create” button to create new Workspace

5. Once you click on create, you will have a form to create a new Workspace. Fill in all details such as Workspace name, Subscription, Resource group, and Region.

Resource Group: A resource group is a collection of resources that share the same life cycle, permissions, and policies.

Workspace Name: The name of the workspace must be unique within your resource group.

6. Click on “Review + create”. Once all validation is… Read the full blog for free on Medium.

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Published via Towards AI