How to Use Microsoft Azure ML Studio for Kaggle Competitions

Offered By
Coursera Project Network
In this Guided Project, you will:

Create your own Azure ML Studio account and navigate the Azure Platform

Create an account on Kaggle, navigate through it and join an identified Kaggle competition

Use Azure ML studio to clean data, perform regression tasks on data and compare two regression models

Clock1.5 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 90 minutes long project-based course, you will learn how to create a Microsoft Azure ML Studio account, a Kaggle account for competitions and use both of them to build a machine learning model which we will be using to make predictions. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Data ScienceMachine LearningCloud ComputingData Cleansing

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Create your Azure ML Studio account and navigate the Azure Platform

  2. Create an account on Kaggle, navigate through it and join a competition

  3. Use Azure ML studio to clean data, perform regression tasks on data and compare two regression models

  4. Part 2: Use Azure ML studio to clean data, perform regression tasks on data and compare two regression models

  5. Make predictions using Azure Studio’s Score Module on Kaggle test data, you will also explore the predictions, convert it to CSV, download it and eventually upload on Kaggle.

  6. Part 2: Make predictions using Azure Studio’s Score Module on Kaggle test data, you will also explore the predictions, convert it to CSV, download it and eventually upload on Kaggle.

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.