Name: Machine Learning Pipelines with Azure ML Studio
Brand: Coursera
Availability: OnlineOnly
Rating: 4.5 (131 reviews)

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学生对 Coursera 提供的 Machine Learning Pipelines with Azure ML Studio 的评价和反馈

4.5

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815 个评分

课程概述

In this project-based course, you are going to build an end-to-end machine learning pipeline in Azure ML Studio, all without writing a single line of code! This course uses the Adult Income Census data set to train a model to predict an individual's income. It predicts whether an individual's annual income is greater than or less than $50,000. The estimator used in this project is a Two-Class Boosted Decision Tree classifier. Some of the features used to train the model are age, education, occupation, etc. Once you have scored and evaluated the model on the test data, you will deploy the trained model as an Azure Machine Learning web service. In just under an hour, you will be able to send new data to the web service API and receive the resulting predictions. This is the second course in this series on building machine learning applications using Azure Machine Learning Studio. I highly encourage you to take the first course before proceeding. It has instructions on how to set up your Azure ML account with $200 worth of free credit to get started with running your experiments! This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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....

101 - Machine Learning Pipelines with Azure ML Studio 的 125 个评论（共 132 个）

创建者 Nyan L H

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Dec 21, 2020

It may be good. But I can't sign up azure cause my country is not in the list

创建者 Rafael

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Mar 29, 2021

Very hands-on. Should have a little bit more theory though

创建者 Kleider S V G

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Feb 22, 2022

Thank you!, these guided courses are very interesting.

创建者 Amadhea Y

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Nov 28, 2022

Really easy to follow even for newbie like me

创建者 Ashutosh

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Sep 13, 2020

It was a such a good course

创建者 Anshula S

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Jul 19, 2021

It was a great experience.

创建者 Deleted A

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Apr 7, 2023

GGRGREATGGRGREAGREA

创建者 Shashank

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May 7, 2021

nice explanation

创建者 Chandan S

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Nov 18, 2020

Machine language

创建者 Ayushi V

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Jan 7, 2025

Nice Project

创建者 Sarnav K

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Jun 29, 2021

Good enough

创建者 PREM K N

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Oct 25, 2020

excellent

创建者 Mohit M

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Jan 23, 2021

Nice One

创建者 mahesh r k

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Jul 22, 2021

Good

创建者 ASHWIN P

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Aug 10, 2021

The project explained clearly how to use the Azure ML Studio for beginners. But at the last step of testing the model, it took a lot of time to load the data and eventually I had to restart the workspace and it still was stuck on the loading data page. Please look into this issue

创建者 mozhgan s

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Aug 29, 2023

This course does not have any subtitles and also the quality of the voice is not very good .

The content was good and a pipeline of Machine Learning in ML studio in Azure was completely explained.

Thank you Coursera for providing this.

创建者 Deleted A

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Oct 14, 2020

The project was useful to understand the basic working of end-to-end machine learning on azure ml studio although the algorithm which was used to learn was not clearly explained.