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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....

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1 - 11 von 11 Bewertungen für Machine Learning Pipelines with Azure ML Studio

von Ayush T

Jun 06, 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.

von RANJANI R

Aug 10, 2020

it is useful for me

von Rishabh R

May 06, 2020

Excellent project

von Partheepan

Apr 09, 2020

very useful

von Kamlesh C

Jul 24, 2020

Thank you

von p s

Jun 26, 2020

Good

von tale p

Jun 13, 2020

good

von Battu u

May 18, 2020

Nice

von bejadi u

Jun 21, 2020

5

von Adrian R N

Jun 07, 2020

Very interesting, the only issue was the visualization on my laptop screen (less than a half)

von Georgina P

Apr 11, 2020

It's a good first aproach for the topic. Well explained, fast and interesting. I recomend it (my 3 stars is due that I have previous knowleadge so I didn't learn a lot yet practised).