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返回到 Machine Learning Pipelines with Azure ML Studio

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

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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....

热门审阅

JB

Sep 16, 2020

Vvery good course jjkkkmmnmmmkjjjbgvfffddďdddddxxccxxxçxxxxxxxxxxxxdddrr5ygvvgg

RS

Aug 13, 2020

Great Teaching!!! Easily Helps to understand the AzureML Pipleline

筛选依据：

51 - Machine Learning Pipelines with Azure ML Studio 的 75 个评论（共 132 个）

创建者 Take S K

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May 8, 2025

very useful for me

创建者 Libero P

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Sep 7, 2025

Πολύ καλό μάθημα.

创建者 Hazra B

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Mar 27, 2021

This is really 👍

创建者 Rishabh R

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May 6, 2020

Excellent project

创建者 Pal S

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Sep 17, 2020

Machine kearning

创建者 Shani k

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Sep 16, 2020

Learning machine

创建者 JOGAR B T

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Jan 2, 2021

A great course!

创建者 AJIT P

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Sep 16, 2020

Useful lesson

创建者 Nikhil K

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Sep 16, 2020

Good course.

创建者 HAVIN I M H H

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Feb 12, 2021

good course

创建者 Partheepan

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Apr 8, 2020

very useful

创建者 Ritik K A

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Sep 7, 2022

excellent

创建者 Tien D M

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Apr 6, 2021

Very clear

创建者 Nor

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Sep 12, 2020

Thank. You

创建者 alenna

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Jul 16, 2024

very good

创建者 md m

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Sep 16, 2020

Very Good

创建者 Ashim B S

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Sep 12, 2020

Excellent

创建者 Kamlesh C

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Jul 23, 2020

Thank you

创建者 Miguel A C L

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Oct 12, 2020

EXELENTE

创建者 Amusan E

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Sep 18, 2020

Splendid

创建者 Hewavitharanage S A G

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Jun 12, 2021

awesome

创建者 John P A

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Sep 16, 2020

Nothing

创建者 Varsha P

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Jan 17, 2025

thanks

创建者 191PH021 L G

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May 18, 2022

LUFSeu

创建者 Jagadish B

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Sep 16, 2020

Thanks