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返回到 Machine Learning Pipelines with Azure ML Studio

学生对 Coursera Project Network 提供的 Machine Learning Pipelines with Azure ML Studio 的评价和反馈

606 个评分


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....



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.


26 - Machine Learning Pipelines with Azure ML Studio 的 50 个评论(共 97 个)

创建者 Soumyadeep D

May 17, 2022

It was awesome and super fun to do that

创建者 Vipin K

Jul 6, 2021

T​he course project was well explained.

创建者 MR. P W

Jul 20, 2021

Great Course with a Live Project

创建者 Teofilus T

Dec 6, 2021

this course was very interesting

创建者 Jonathan G

Apr 30, 2021

Great for beginners like me. <3

创建者 Swati C

Oct 29, 2021

this is very baneficial for ma

创建者 Anthony

Jan 24, 2021

Easy to understand and follow.

创建者 MD R I

Sep 13, 2020

Really Helpful course for me

创建者 Dr G N R D

May 28, 2021

excellent and more useful


Jul 7, 2021

It was a good experiment

创建者 Charan k K

Apr 10, 2022

nice course really best

创建者 Wisnu S N

Mar 7, 2021

Great project exercise!

创建者 Hanifah N A

Dec 21, 2020

Amazing! Thank you!


Aug 10, 2020

it is useful for me

创建者 Hazra B

Mar 27, 2021

This is really 👍

创建者 Rishabh R

May 6, 2020

Excellent project

创建者 Pal S

Sep 17, 2020

Machine kearning

创建者 Shani k

Sep 16, 2020

Learning machine


Jan 2, 2021

A great course!

创建者 AJIT P

Sep 16, 2020

Useful lesson

创建者 Nikhil K

Sep 16, 2020

Good course.


Feb 12, 2021

good course

创建者 Partheepan

Apr 9, 2020

very useful

创建者 Tien D M

Apr 6, 2021

Very clear

创建者 Nor

Sep 12, 2020

Thank. You