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

4.6
stars
745 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.

Filter by:

101 - 112 of 112 Reviews for Machine Learning Pipelines with Azure ML Studio

By mozhgan s

Aug 29, 2023

This course does not have any subtitles and also the quality of the voice is not very good .

The content was good and a pipeline of Machine Learning in ML studio in Azure was completely explained.

Thank you Coursera for providing this.

By Deleted A

Oct 14, 2020

The project was useful to understand the basic working of end-to-end machine learning on azure ml studio although the algorithm which was used to learn was not clearly explained.

By Anurag k

Sep 14, 2020

Strictly speaking, its basic, and also the explanation is not great. 3 of 5 is not good for a vaguely taught topics which are basic.

By Digyat B

Mar 2, 2024

It is not what I expected it to be.. I was expecting AI and stuff lol

By Krister M

May 12, 2022

El curso necesita ser actualizado, azure tiene nuevas funciones

By laura m

Oct 2, 2020

Explains the basics of Azure Machine Learning Studio

By Rutuja P

Jul 1, 2021

explaination is incomplete

By Dinara Z

Dec 23, 2022

удовлетворительно

By Ashish S

Sep 19, 2020

Good

By Mubeen M

Sep 22, 2023

I want to rate it zero, in the video they refer the first course of this series, but didn't provide anything regarding that and now I want to unenroll the course but there is no option. such a bad experience.

By C. G

Jul 24, 2023

Cannot even use the Azure Tool as it continuously refreshes the page and prevents you from using any of the tools.

By Dilli P T

Sep 28, 2023

labs are not working