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Voltar para Machine Learning Pipelines with Azure ML Studio

Comentários e feedback de alunos de Machine Learning Pipelines with Azure ML Studio da instituição Coursera Project Network

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Sobre o curso

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....

Melhores avaliações

MT

15 de ago de 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

5 de jun de 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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1 — 25 de 102 Avaliações para o Machine Learning Pipelines with Azure ML Studio

por Georgina P

11 de abr de 2020

por Ayush T

6 de jun de 2020

por Rushikesh S

14 de ago de 2020

por Adrian R N

7 de jun de 2020

por Messias U

23 de jan de 2021

por MANASWINI P T

16 de ago de 2021

por Sruthi a

13 de set de 2020

por Manish B

14 de set de 2020

por Mustafa A

18 de set de 2020

por Suhaimi C

25 de set de 2020

por Von B M

9 de out de 2022

por Amit G

28 de mai de 2021

por Lucas F M

20 de jul de 2021

por Divyansh L

8 de dez de 2021

por Hari P

23 de jul de 2021

por Vandith S K

16 de jul de 2021

por 1808 M A A G

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por KARTIK J

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por J. M I P S

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por Prabhleen k

16 de set de 2020

por SANTU K J

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por Gaganjotsingh

18 de set de 2020

por Deleted A

13 de set de 2020

por Ramachandra A V

15 de fev de 2021

por Nawas N

14 de fev de 2021