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Machine Learning Pipelines with Azure ML Studio(으)로 돌아가기

Coursera Project Network의 Machine Learning Pipelines with Azure ML Studio 학습자 리뷰 및 피드백

606개의 평가
99개의 리뷰

강좌 소개

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....

최상위 리뷰


2021년 8월 15일

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


2020년 6월 5일

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.

필터링 기준:

Machine Learning Pipelines with Azure ML Studio의 97개 리뷰 중 76~97

교육 기관: Colin C

2021년 3월 17일

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.

교육 기관: Aarush S

2022년 2월 22일

The instructor is great but the Guided project is using the outdated version of Azure so i wasnt able to complete the project

교육 기관: Padmalochan T

2020년 10월 1일

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

교육 기관: Nyan L H

2020년 12월 21일

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

교육 기관: Rafael

2021년 3월 29일

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

교육 기관: Kleider S V G

2022년 2월 22일

Thank you!, these guided courses are very interesting.

교육 기관: Ashutosh

2020년 9월 14일

It was a such a good course

교육 기관: Anshula S

2021년 7월 19일

It was a great experience.

교육 기관: Shashank

2021년 5월 7일

nice explanation

교육 기관: Chandan S

2020년 11월 19일

Machine language

교육 기관: Sarnav K

2021년 6월 29일

Good enough

교육 기관: PREM K N

2020년 10월 25일


교육 기관: MASOOM M

2021년 1월 23일

Nice One

교육 기관: mahesh r k

2021년 7월 23일


교육 기관: ASHWIN P (

2021년 8월 10일

The project explained clearly how to use the Azure ML Studio for beginners. But at the last step of testing the model, it took a lot of time to load the data and eventually I had to restart the workspace and it still was stuck on the loading data page. Please look into this issue

교육 기관: Deleted A

2020년 10월 14일

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.

교육 기관: Anurag k

2020년 9월 14일

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.

교육 기관: Krister M

2022년 5월 12일

El curso necesita ser actualizado, azure tiene nuevas funciones

교육 기관: Laura M d A M

2020년 10월 2일

Explains the basics of Azure Machine Learning Studio

교육 기관: Rutuja P

2021년 7월 1일

explaination is incomplete

교육 기관: Ashish S

2020년 9월 19일