From the course: Microsoft Azure Data Scientist Associate (DP-100) Cert Prep
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Develop code by using a compute instance - Azure Tutorial
From the course: Microsoft Azure Data Scientist Associate (DP-100) Cert Prep
Develop code by using a compute instance
- [Lecturer] Azure Machine Learning Studio has several ways to get started with tasks in this main interface. In fact, you can select the create new and choose to create a new notebook or a job or data asset. In this case, let's go ahead and create a notebook. So I'm going to go ahead and set, start now. And notice if I wanted to, I could browse the samples here. That's one option. Or I could look at the existing notebooks that I have in my workspace. I'm going to go ahead and create a new notebook here. So I'm going to go ahead and say Add files and I'm going to upload a new file. Now how am I going to upload this file? I'm going to go over to GitHub real quick and see I have a notebook that is hosted in Colab Notebook. It does some things with COVID data. I'm going to go ahead and download this. If I go ahead and say download Notebook. Next, I can go over here, go back to that interface and say Upload files. Now, once I've uploaded this notebook, all I need to do is collapse this…
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Load and transform data1m 12s
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Analyze data by using Azure Data Explorer1m 14s
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Demo: Azure Data Explorer4m 4s
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Consume data assets from the designer3m 5s
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Use automated machine learning for tabular data6m 42s
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Develop code by using a compute instance1m 43s
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Consume data in a notebook4m 17s
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Train a model by using Python SDK6m 18s
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Techniques for dealing with hyperparameter optimization3m 6s
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