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學生對 Coursera Project Network 提供的 Machine Learning Pipelines with Azure ML Studio 的評價和反饋

4.6
606 個評分

課程概述

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....

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MT

2021年8月15日

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

2020年6月5日

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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51 - Machine Learning Pipelines with Azure ML Studio 的 75 個評論(共 97 個)

創建者 md m

2020年9月16日

Very Good

創建者 Er. A B S

2020年9月12日

Excellent

創建者 Kamlesh C

2020年7月23日

Thank you

創建者 MIGUEL A C L

2020年10月12日

EXELENTE

創建者 Amusan E

2020年9月18日

Splendid

創建者 Hewavitharanage S A G

2021年6月12日

awesome

創建者 John P G A

2020年9月16日

Nothing

創建者 191PH021 L G

2022年5月18日

LUFSeu

創建者 Jagadish B

2020年9月16日

Thanks

創建者 Mohammed R I

2021年1月3日

great

創建者 Richa S

2020年9月16日

Great

創建者 RAKSHITH P

2022年2月11日

GOOD

創建者 SONALI H

2021年10月30日

nice

創建者 Vamsi k C

2020年9月20日

Good

創建者 Sk I A

2020年9月16日

Good

創建者 GURUDAS B

2020年9月16日

Nice

創建者 ABDUL J C

2020年9月13日

good

創建者 Rajula n

2020年9月11日

Good

創建者 p s

2020年6月26日

Good

創建者 tale p

2020年6月13日

good

創建者 Battu u

2020年5月18日

Nice

創建者 Qusaya

2021年6月17日

w​u

創建者 Manjunath G

2021年8月19日

to

創建者 bejadi u

2020年6月21日

5

創建者 James J H O

2020年12月19日

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.