Refine and test machine learning models

Module
9 Units

Beginner

AI Engineer

Data Scientist

Student

Azure

When we think of machine learning, we often focus on the training process. A small amount of preparation before this process can not only speed up and improve learning, but also give us some confidence about how well our models will work when faced with data we have never seen before.

Learning objectives

In this module, you will:

Define feature scaling.
Create and work with test datasets.
Articulate how testing models can both improve and harm training.

Prerequisites

Familiarity with machine learning models

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Introduction min
Normalization and standardization min
Exercise – Feature scaling min
Test and training datasets min
Exercise - Test and train datasets min
Nuances of test sets min
Exercise – Test set nuances min
Module assessment min
Summary min