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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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26 - Machine Learning Pipelines with Azure ML Studio 的 50 個評論(共 97 個)

創建者 Soumyadeep D

2022年5月17日

It was awesome and super fun to do that

創建者 Vipin K

2021年7月6日

T​he course project was well explained.

創建者 MR. P W

2021年7月20日

Great Course with a Live Project

創建者 Teofilus T

2021年12月6日

this course was very interesting

創建者 Jonathan G

2021年4月30日

Great for beginners like me. <3

創建者 Swati C

2021年10月29日

this is very baneficial for ma

創建者 Anthony

2021年1月24日

Easy to understand and follow.

創建者 MD R I

2020年9月13日

Really Helpful course for me

創建者 Dr G N R D

2021年5月28日

excellent and more useful

創建者 BIPASHA M

2021年7月7日

It was a good experiment

創建者 Charan k K

2022年4月10日

nice course really best

創建者 Wisnu S N

2021年3月7日

Great project exercise!

創建者 Hanifah N A

2020年12月21日

Amazing! Thank you!

創建者 RANJANI R J

2020年8月10日

it is useful for me

創建者 Hazra B

2021年3月27日

This is really 👍

創建者 Rishabh R

2020年5月6日

Excellent project

創建者 Pal S

2020年9月17日

Machine kearning

創建者 Shani k

2020年9月16日

Learning machine

創建者 JOGAR B T

2021年1月2日

A great course!

創建者 AJIT P

2020年9月16日

Useful lesson

創建者 Nikhil K

2020年9月16日

Good course.

創建者 HAVIN I M H H

2021年2月12日

good course

創建者 Partheepan

2020年4月9日

very useful

創建者 Tien D M

2021年4月6日

Very clear

創建者 Nor

2020年9月12日

Thank. You