Today I co-presented the workshop “Create no-code Machine Learning models with Azure Machine Learning” along with my fellow Microsoft Learn Student Ambassadors Antigoni Kakouri and Danai Karaviti at the Electrical and Computer Engineering Student’s Conference of Greece (ECESCON 12).
Azure Machine Learning is a cloud-based platform that helps simplify some tasks, such as reduce the time it takes to prepare data, train a model, and deploy a predictive service. In this workshop, you will learn how to use Azure Machine Learning Designer to develop a machine learning model without writing code. We will start by discussing the basics of machine learning and learning how to create an Azure Machine Learning workspace. During the session, you will learn how to train and evaluate a regression model that predicts wine quality based on chemical properties and deploy the predictive service.
If you are interested in getting started with Azure Machine Learning, you can read the articles that I have written about Azure Machine Learning Designer.
In this tutorial, you will learn how to create a no-code machine learning model in Azure Machine Learning to predict CO2 emissions from cars.
In this tutorial, you will create an inference pipeline and deploy a regression model as a service in Azure Machine Learning Designer.
In this tutorial, you will create a classification model for chronic kidney disease prediction in Azure Machine Learning Designer.