Data Science Made Easier with Azure ML Studio by Pragati Jain

In this session, we will start with creating a simple predictive model in a no-code environment – Azure ML Studio. This will be further followed by evaluating the model results.

The session will cover the following details:

  • Start with creating a ML resource, Compute Instance and Cluster in Azure ML Studio
  • Import a dataset
  • Exploring the dataset
  • Creating a Machine Learning experiment
  • Exploring all the different nodes of the experiment
  • Exploring evaluation metrics for the model
  • Clean up Azure resources in the end

Speaker’s Profile: Pragati Jain

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