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Вернуться к Machine Learning Pipelines with Azure ML Studio

Отзывы учащихся о курсе Machine Learning Pipelines with Azure ML Studio от партнера Coursera Project Network

4.6
звезд
Оценки: 523
Рецензии: 90

О курсе

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....

Лучшие рецензии

MT
15 авг. 2021 г.

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
5 июня 2020 г.

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.

Фильтр по:

51–75 из 89 отзывов о курсе Machine Learning Pipelines with Azure ML Studio

автор: MIGUEL A C L

12 окт. 2020 г.

EXELENTE

автор: Amusan E

18 сент. 2020 г.

Splendid

автор: Hewavitharanage S A G

12 июня 2021 г.

awesome

автор: John P G A

16 сент. 2020 г.

Nothing

автор: Jagadish B

16 сент. 2020 г.

Thanks

автор: Mohammed R I

3 янв. 2021 г.

great

автор: Richa S

16 сент. 2020 г.

Great

автор: SONALI H

30 окт. 2021 г.

nice

автор: Vamsi k C

20 сент. 2020 г.

Good

автор: Sk I A

16 сент. 2020 г.

Good

автор: GURUDAS B

16 сент. 2020 г.

Nice

автор: ABDUL J C

13 сент. 2020 г.

good

автор: Rajula n

11 сент. 2020 г.

Good

автор: p s

26 июня 2020 г.

Good

автор: tale p

13 июня 2020 г.

good

автор: Battu u

18 мая 2020 г.

Nice

автор: Qusaya

17 июня 2021 г.

w​u

автор: Manjunath G

19 авг. 2021 г.

to

автор: bejadi u

21 июня 2020 г.

5

автор: James J H O

19 дек. 2020 г.

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.

автор: Colin C

17 мар. 2021 г.

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.

автор: Padmalochan T

1 окт. 2020 г.

Its great for my learning session Machine Learning Pipelines ! Thank for this course.

автор: Nyan L H

21 дек. 2020 г.

It may be good. But I can't sign up azure cause my country is not in the list

автор: Rafael

29 мар. 2021 г.

Very hands-on. Should have a little bit more theory though