Experiment with Azure Machine Learning

Module
10 Units

Beginner

Data Scientist

Azure Machine Learning

Learn how to find the best machine learning model with automated machine learning (AutoML), MLflow-tracked notebooks, and the Responsible AI dashboard.

Learning objectives

In this module, you learn how to:

Prepare your data to use AutoML for classification.
Configure and run an AutoML experiment.
Evaluate and compare AutoML models.
Configure MLflow for model tracking in notebooks.
Use MLflow for model tracking in notebooks.
Evaluate a trained model using the Responsible AI dashboard.

Prerequisites

None

Introduction min
Preprocess data and configure featurization min
Run an automated machine learning experiment min
Evaluate and compare models min
Configure MLflow for model tracking in notebooks min
Train and track models in notebooks min
Evaluate models with the Responsible AI dashboard min
Exercise - Find the best classification model with Azure Machine Learning min
Module assessment min
Summary min

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