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

4.6
stars
775 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

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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76 - 100 of 118 Reviews for Machine Learning Pipelines with Azure ML Studio

By GURUDAS B

Sep 16, 2020

Nice

By ABDUL J C

Sep 13, 2020

good

By Rajula n

Sep 11, 2020

Good

By p s

Jun 26, 2020

Good

By tale p

Jun 13, 2020

good

By Battu u

May 18, 2020

Nice

By Qusaya

Jun 17, 2021

wu

By Manjunath G

Aug 19, 2021

to

By sowmi b

Sep 21, 2022

K

By bejadi u

Jun 21, 2020

5

By 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.

By Colin C

Mar 17, 2021

Course was great, very great look at the platform and a good example to walk through. Only complaint is the quiz seemed to have the wrong answers (it said that we down scaled the majority class, which we did not). There were a few issues there, which should be fixed so students do not leave the course in confusion.

By Aarush S 2

Feb 22, 2022

The instructor is great but the Guided project is using the outdated version of Azure so i wasnt able to complete the project

By Padmalochan T

Oct 1, 2020

Its great for my learning session Machine Learning Pipelines ! Thank for this course.

By Nyan L H

Dec 21, 2020

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

By Rafael

Mar 29, 2021

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

By Kleider S V G

Feb 22, 2022

Thank you!, these guided courses are very interesting.

By Amadhea Y

Nov 28, 2022

Really easy to follow even for newbie like me

By Ashutosh

Sep 14, 2020

It was a such a good course

By Anshula S

Jul 19, 2021

It was a great experience.

By Deleted A

Apr 7, 2023

GGRGREATGGRGREAGREA

By Shashank

May 7, 2021

nice explanation

By Chandan S

Nov 19, 2020

Machine language

By Sarnav K

Jun 29, 2021

Good enough