Name: Machine Learning Pipelines with Azure ML Studio
Brand: Coursera
Availability: OnlineOnly
Rating: 4.5 (131 reviews)

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

4.5

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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....

76 - Machine Learning Pipelines with Azure ML Studio 的 100 个评论（共 132 个）

创建者 Mohammed R I

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Jan 3, 2021

great

创建者 Richa S

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Sep 16, 2020

Great

创建者 Rajat s R

•

Dec 8, 2025

Good

创建者 Lalit C

•

Oct 16, 2025

good

创建者 Herobrine P

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Jan 20, 2025

Good

创建者 VIJAYAGIRI S

•

Oct 2, 2024

nthg

创建者 RAKSHITH P

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Feb 11, 2022

GOOD

创建者 SONALI H

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Oct 30, 2021

nice

创建者 Vamsi k C

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Sep 20, 2020

Good

创建者 Sk I A

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Sep 16, 2020

Good

创建者 GURUDAS B

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Sep 16, 2020

Nice

创建者 ABDUL J C

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Sep 13, 2020

good

创建者 Rajula n

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Sep 10, 2020

Good

创建者 p s

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Jun 26, 2020

Good

创建者 tale p

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Jun 13, 2020

good

创建者 Battu u

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May 18, 2020

Nice

创建者 Qusaya

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Jun 17, 2021

创建者 Manjunath G

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Aug 19, 2021

创建者 sowmi b

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Sep 21, 2022

创建者 bejadi u

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Jun 21, 2020

创建者 James J H O

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Dec 19, 2020

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.

创建者 Colin C

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Mar 17, 2021

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.