่ฟ”ๅ›žๅˆฐ Machine Learning Pipelines with Azure ML Studio
Coursera

Machine Learning Pipelines with Azure ML Studio

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, youโ€™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. Weโ€™re currently working on providing the same experience in other regions.

็Šถๆ€๏ผšData Science
็Šถๆ€๏ผšPredictive Modeling
ๅˆ็บงๆŒ‡ๅฏผ้กน็›ฎๅฐๆ—ถ

็ฒพ้€‰่ฏ„่ฎบ

AT

5.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšJun 5, 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.

JB

4.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšSep 16, 2020

Vvery good course jjkkkmmnmmmkjjjbgvfffddฤdddddxxccxxxรงxxxxxxxxxxxxdddrr5ygvvgg

RS

5.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšAug 13, 2020

Great Teaching!!! Easily Helps to understand the AzureML Pipleline

VK

5.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšJul 15, 2021

Excellent for understanding machine learning pipelines. Just hope the cloud workspace is less laggy next time.

MT

5.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšAug 15, 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

RR

4.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšMar 28, 2021

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

PT

4.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšSep 30, 2020

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

KJ

5.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšMay 24, 2021

It was a really good project. Instructions were clear and i was able to complete it without much trouble.

RV

5.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšFeb 14, 2021

It gives the most insight into machine learning pipeline.

NH

4.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšDec 20, 2020

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

HJ

5.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšJan 4, 2025

project helped me to understand how professional projects go under

DL

5.0่ฏ„่ฎบๆ—ฅๆœŸ๏ผšDec 7, 2021

Totally recommend completing this course. Short and sweet, easy to learn. All the best to future learners and sincere gratitude to the tutor.

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