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Bewertung und Feedback des Lernenden für Machine Learning Pipelines with Azure ML Studio von Coursera Project Network

606 Bewertungen

Über den Kurs

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....



15. Aug. 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


5. Juni 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 - 50 von 97 Bewertungen für Machine Learning Pipelines with Azure ML Studio

von Soumyadeep D

17. Mai 2022

It was awesome and super fun to do that

von Vipin K

6. Juli 2021

T​he course project was well explained.

von MR. P W

20. Juli 2021

Great Course with a Live Project

von Teofilus T

6. Dez. 2021

this course was very interesting

von Jonathan G

30. Apr. 2021

Great for beginners like me. <3

von Swati C

29. Okt. 2021

this is very baneficial for ma

von Anthony

24. Jan. 2021

Easy to understand and follow.

von MD R I

13. Sep. 2020

Really Helpful course for me

von Dr G N R D

28. Mai 2021

excellent and more useful


7. Juli 2021

It was a good experiment

von Charan k K

10. Apr. 2022

nice course really best

von Wisnu S N

7. März 2021

Great project exercise!

von Hanifah N A

21. Dez. 2020

Amazing! Thank you!


10. Aug. 2020

it is useful for me

von Hazra B

27. März 2021

This is really 👍

von Rishabh R

6. Mai 2020

Excellent project

von Pal S

17. Sep. 2020

Machine kearning

von Shani k

16. Sep. 2020

Learning machine


2. Jan. 2021

A great course!

von AJIT P

16. Sep. 2020

Useful lesson

von Nikhil K

16. Sep. 2020

Good course.


12. Feb. 2021

good course

von Partheepan

9. Apr. 2020

very useful

von Tien D M

6. Apr. 2021

Very clear

von Nor

12. Sep. 2020

Thank. You