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Learner Reviews & Feedback for Machine Learning Pipelines with Azure ML Studio by Coursera Project Network

4.5
stars
814 ratings

About the Course

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....

Top reviews

SA

Sep 12, 2020

class was understandable.simple and helpedthank you for this course

JB

Sep 16, 2020

Vvery good course jjkkkmmnmmmkjjjbgvfffddďdddddxxccxxxçxxxxxxxxxxxxdddrr5ygvvgg

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51 - 75 of 130 Reviews for Machine Learning Pipelines with Azure ML Studio

By Take S K

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May 8, 2025

very useful for me

By Libero P

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Sep 7, 2025

Πολύ καλό μάθημα.

By Hazra B

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Mar 27, 2021

This is really 👍

By Rishabh R

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May 6, 2020

Excellent project

By Pal S

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Sep 17, 2020

Machine kearning

By Shani k

•

Sep 16, 2020

Learning machine

By JOGAR B T

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Jan 2, 2021

A great course!

By AJIT P

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Sep 16, 2020

Useful lesson

By Nikhil K

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Sep 16, 2020

Good course.

By HAVIN I M H H

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Feb 12, 2021

good course

By Partheepan

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Apr 9, 2020

very useful

By Ritik K A

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Sep 7, 2022

excellent

By Tien D M

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Apr 6, 2021

Very clear

By Nor

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Sep 12, 2020

Thank. You

By alenna

•

Jul 17, 2024

very good

By md m

•

Sep 16, 2020

Very Good

By Ashim B S

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Sep 12, 2020

Excellent

By Kamlesh C

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Jul 23, 2020

Thank you

By Miguel A C L

•

Oct 12, 2020

EXELENTE

By Amusan E

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Sep 18, 2020

Splendid

By Hewavitharanage S A G

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Jun 12, 2021

awesome

By John P A

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Sep 16, 2020

Nothing

By Varsha P

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Jan 17, 2025

thanks

By 191PH021 L G

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May 18, 2022

LUFSeu

By Jagadish B

•

Sep 16, 2020

Thanks