Learn how to solve complex data analysis challenges—such as multi-class classification—with machine learning, using Azure ML Studio.
Azure Machine Learning Development: 2 Learning ML Studio
Overview
Syllabus
Introduction
- Learning Azure Machine Learning Studio
- What you should know
- What is Machine Learning Studio?
- Create a workspace
- Work with data
- Create the experiment and train the model
- Deploy and manage the web service
- Launch the Machine Learning Studio
- Create an experiment and add data
- Clean the data
- Remove unnecessary columns
- Split the data for cross validation
- Score the model
- Evaluate model
- View our evaluation
- Create a predictive experiment
- Deploy and test your service
- Test your model
- Call your service from custom code
- Summary and conclusion
Taught by
Sahil Malik
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