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返回到 Machine Learning Pipelines with Azure ML Studio

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

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815 个评分

课程概述

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....

热门审阅

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.

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26 - Machine Learning Pipelines with Azure ML Studio 的 50 个评论（共 132 个）

创建者 Deleted A

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Sep 13, 2020

What a nice way to learn and do the practical along with the instructor

创建者 Humanshu J

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Jan 4, 2025

project helped me to understand how professional projects go under

创建者 Ramachandra A V

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Feb 15, 2021

It gives the most insight into machine learning pipeline.

创建者 Nawas N

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Feb 14, 2021

Well crafted and delivered excellently in short time.

创建者 daniel s

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Mar 13, 2021

guided project was informative and understandable

创建者 Aayushi C

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May 30, 2021

this was very easy way to study...enjoyed it!!!

创建者 Archisman R C

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Jan 24, 2023

Great experience and very well demonstrated

创建者 Soumyadeep D

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May 16, 2022

It was awesome and super fun to do that

创建者 Vipin K

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Jul 6, 2021

The course project was well explained.

创建者 MR. P W

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Jul 20, 2021

Great Course with a Live Project

创建者 Sindhu S

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Oct 26, 2024

This course is very helpful for me

创建者 Derf S

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Feb 14, 2024

Great tool and very detail work!

创建者 Deleted A

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Dec 5, 2021

this course was very interesting

创建者 Jonathan G

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Apr 30, 2021

Great for beginners like me. <3

创建者 Swati C

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Oct 29, 2021

this is very baneficial for ma

创建者 Anthony

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Jan 24, 2021

Easy to understand and follow.

创建者 Md R I

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Sep 13, 2020

Really Helpful course for me

创建者 Dr G N R D

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May 28, 2021

excellent and more useful

创建者 Bipasha M

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Jul 6, 2021

It was a good experiment

创建者 Nick S

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Apr 22, 2025

Nice course! Well done!

创建者 Charan k K

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Apr 10, 2022

nice course really best

创建者 Wisnu S N

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Mar 6, 2021

Great project exercise!

创建者 Mohamad A

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Apr 1, 2024

Right to the point!

创建者 Hanifah N A

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Dec 21, 2020

Amazing! Thank you!

创建者 RANJANI R J

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Aug 10, 2020

it is useful for me