Data Science and Machine Learning Essentials Lab 1 – Getting Started with Azure Machine Learning Overview In this lab, you will learn how to open and navigate the Microsoft Azure Machine Learning (Azure ML) Studio. You will also learn how to create and run experiments in Azure ML. Note: The goal of this lab is to familiarize yourself with the Azure ML environment and some of the modules and techniques you will use in subsequent labs. Details of how to visualize and manipulate data, and how to build and evaluate machine learning models will be discussed in more depth later in the course. What You’ll Need To complete this lab, you will need the following:  An Azure ML account  A web browser and Internet connection  The files for this lab  Optionally, the Anaconda Python distribution or R and R Studio if you want to edit the code examples give in this lab Note: To set up the required environment for the lab, follow the instructions in the Setup Guide for this course. Creating an Azure ML Experiment Azure ML enables you to create experiments in which you can manipulate data, create predictive models, and visualize the results. In this exercise, you will create a simple experiment to explore a sample dataset that contains data on bank customers. Your goal is to predict the creditworthiness of these customers. Sign into Azure ML Studio 1. 2. Browse to https://studio.azureml.net and sign in using the Microsoft account associated with your free Azure ML account. If the Welcome page is displayed, close it by clicking the OK icon (which looks like a checkmark). Then, if the New page (containing a collection of Microsoft samples) is displayed, close it by clicking the Close icon (which looks like an X). 3. You should now be in Azure ML Studio with the Experiments page selected, which looks like the following image (if not, click the Studio tab at the top of the page). Tip: To organize the labs for this

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