How to Use Microsoft Azure ML Studio for Kaggle Competitions

提供方
Coursera Project Network
在此指导项目中,您将:

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
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

  • Data Science
  • Machine Learning
  • Cloud Computing
  • Data Cleansing

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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.

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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