Data Science

ML Pipelines with Azure ML Studio

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Coursera With GroupifyAI

Train, assess, and deploy an enhanced decision tree model using Azure ML Studio for predictive and scoring experiments.

Key AI Functions:Azure Machine Learning,Data Science,Binary Classification,Data Analysis,Machine Learning

Description for ML Pipelines with Azure ML Studio

  • Utilize modules that are suitable for data preprocessing.
  • Train and assess a decision tree model that has been enhanced using Azure ML Studio.
  • Develop predictive and scoring experiments
  • Deploy the trained model as an Azure web service.
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Coursera Project Network

    Duration: 2 hours

    Schedule: Flexible

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