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Avis et commentaires pour d'étudiants pour Machine Learning Pipelines with Azure ML Studio par Coursera Project Network

4.6
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606 évaluations

À propos du cours

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....

Meilleurs avis

MT

15 août 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 juin 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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51 - 75 sur 97 Avis pour Machine Learning Pipelines with Azure ML Studio

par md m

16 sept. 2020

Very Good

par Er. A B S

12 sept. 2020

Excellent

par Kamlesh C

23 juil. 2020

Thank you

par MIGUEL A C L

12 oct. 2020

EXELENTE

par Amusan E

18 sept. 2020

Splendid

par Hewavitharanage S A G

12 juin 2021

awesome

par John P G A

16 sept. 2020

Nothing

par 191PH021 L G

18 mai 2022

LUFSeu

par Jagadish B

16 sept. 2020

Thanks

par Mohammed R I

3 janv. 2021

great

par Richa S

16 sept. 2020

Great

par RAKSHITH P

11 févr. 2022

GOOD

par SONALI H

30 oct. 2021

nice

par Vamsi k C

20 sept. 2020

Good

par Sk I A

16 sept. 2020

Good

par GURUDAS B

16 sept. 2020

Nice

par ABDUL J C

13 sept. 2020

good

par Rajula n

11 sept. 2020

Good

par p s

26 juin 2020

Good

par tale p

13 juin 2020

good

par Battu u

18 mai 2020

Nice

par Qusaya

17 juin 2021

w​u

par Manjunath G

19 août 2021

to

par bejadi u

21 juin 2020

5

par James J H O

19 déc. 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.