DP-100 Azure Machine Learning in Python-Basic to Advance
Machine learning workflow orchestration is used to automate the process of training, deploying, and managing models. Python is used to do this.
What you’ll learn
DP-100 Azure Machine Learning in Python-Basic to Advance
- The architecture of the Azure ML platform
- Train a machine learning with Azure ML in python, then use it.
- Storage is linked to your Azure ML.
- Then, set up real-time machine service.
- The Azure Auto ML.
- The Azure Designer Studio
Requirements
- Microsoft Azure must be free or paid for. It might ask for a phone number and/or a credit card to prove that it is real.
- Python is a programming language that you need to know in order
Description
This course has been made for people who are new to data science or don’t know how to write programs. Course: Data scientists and python developers will also benefit from this course. They will learn more about AzureML through this course, too.
The environment could be in the cloud or on-site.
If you want to pass the DP-100 certification, this course is for you!
This course would also be useful for experts who need to know how to set up and run a machine learning environment in the real world.
In this class, students will learn how to do the following:
You can get a free account with Azure and learn how to use AzureML studio.
In this class, we will learn about the whole structure of Azure Machine Learning.
Use an XML file on your computer to make a virtual env for the Python language.
How to use ML in Azure and make real-time predictions.
We will show you how to make a machine learning pipeline and how to change the hyperparameters.
also learn how to use Azure Auto ML.
How to make a machine learning project without writing a single line of code with the help of azure machine learning studio.
The more you know about the parts and how they work together, the easier it will be to build, deploy, and keep up with machine learning models.
To work with Azure Machine Learning, you need to use tools and interfaces that work with it.
In an Azure Machine Learning workspace, you can run code-based tests.
Who this course is for:
- A developer or a data scientist can run the model in Azure.
- The Data Science and Machine Learning field are very interesting to people who want to work in them or learn more about them.
- Business Analysts who want to use Data Science to help solve business problems, or BAs.
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