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

4.6
606 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....

热门审阅

MT

Aug 15, 2021

It was an excellent learning from a novice like me in the last part of the project I got lagged but the rest I learned thank you i hope i can attend more projects like this to gain more experience

AT

Jun 5, 2020

I have learn most quality things and practical knowledge with machine learning pipelines with Azure ML studio which is very useful for our future & It can help me in my life.

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51 - Machine Learning Pipelines with Azure ML Studio 的 75 个评论(共 97 个)

创建者 md m

Sep 16, 2020

Very Good

创建者 Er. A B S

Sep 12, 2020

Excellent

创建者 Kamlesh C

Jul 23, 2020

Thank you

创建者 MIGUEL A C L

Oct 12, 2020

EXELENTE

创建者 Amusan E

Sep 18, 2020

Splendid

创建者 Hewavitharanage S A G

Jun 12, 2021

awesome

创建者 John P G A

Sep 16, 2020

Nothing

创建者 191PH021 L G

May 18, 2022

LUFSeu

创建者 Jagadish B

Sep 16, 2020

Thanks

创建者 Mohammed R I

Jan 3, 2021

great

创建者 Richa S

Sep 16, 2020

Great

创建者 RAKSHITH P

Feb 11, 2022

GOOD

创建者 SONALI H

Oct 30, 2021

nice

创建者 Vamsi k C

Sep 20, 2020

Good

创建者 Sk I A

Sep 16, 2020

Good

创建者 GURUDAS B

Sep 16, 2020

Nice

创建者 ABDUL J C

Sep 13, 2020

good

创建者 Rajula n

Sep 11, 2020

Good

创建者 p s

Jun 26, 2020

Good

创建者 tale p

Jun 13, 2020

good

创建者 Battu u

May 18, 2020

Nice

创建者 Qusaya

Jun 17, 2021

w​u

创建者 Manjunath G

Aug 19, 2021

to

创建者 bejadi u

Jun 21, 2020

5

创建者 James J H O

Dec 19, 2020

This specific project does not include any programming (of which I wanted) but it does provide a practical overview of how machine learning methods can be implemented through using Azure. The project is relatively short so could be completed very quickly of which was a plus for me. The instructor explains concepts and ideas well all throughout the course and I would recommend this course to anyone who wants a flavor of how machine learning can be implemented.