Chevron Left
Back to Machine Learning Pipelines with Azure ML Studio

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

663 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


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


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.

Filter by:

76 - 100 of 101 Reviews for Machine Learning Pipelines with Azure ML Studio

By sowmi b

Sep 21, 2022

By bejadi u

Jun 21, 2020

By James J H O

Dec 19, 2020

By Colin C

Mar 17, 2021

By Aarush S

Feb 22, 2022

By Padmalochan T

Oct 1, 2020

By Nyan L H

Dec 21, 2020

By Rafael

Mar 29, 2021

By Kleider S V G

Feb 22, 2022

By Amadhea Y

Nov 28, 2022

By Ashutosh

Sep 14, 2020

By Anshula S

Jul 19, 2021

By Shashank

May 7, 2021

By Chandan S

Nov 19, 2020

By Sarnav K

Jun 29, 2021


Oct 25, 2020


Jan 23, 2021

By mahesh r k

Jul 23, 2021


Aug 10, 2021

By Deleted A

Oct 14, 2020

By Anurag k

Sep 14, 2020

By Krister M

May 12, 2022

By Laura M d A M

Oct 2, 2020

By Rutuja P

Jul 1, 2021