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Designing Machine/Deep Learning Models Using Azure CLI

Training an ML Model

Understand how to train a machine learning model on Azure using the iris dataset and Support Vector Machine. Explore dataset handling, job configuration via YAML, parameter initialization, and running the training pipeline to achieve high accuracy.

We'll cover the following...

Model overview

  • Dataset: We will use the classic iris.csv dataset as input. The dataset has six columns with various flower features. The model classifies them into one flower species.

  • Training model: We will use SVMSupport Vector Machine for classification in this lesson.

We need two critical components for running this job:

  • job.yml: This YAML file contains the
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