Lesson 5: Solving problems with ML models

In this lesson, students will be introduced to the AI project lifecycle and use it to create a machine learning model. They will apply a user-focused approach to working on AI projects. They will choose a project, then train a machine learning model, then test their model to determine its accuracy.

Learning objectives

Describe the stages of the AI project lifecycle
Use a machine learning tool to import data and train a model
Test and examine the accuracy of an ML model

Key vocabulary

AI project lifecycle, data cleaning, machine learning model, class, label, training, testing, accuracy, confidence score, confidence threshold

Lesson structure

Order the stages of the AI project lifecycle
User-focused approach
Stage 1: Defining the problem
Stage 2: Preparing the data
Stage 3: Training the model
Stage 4: Testing the model
Reporting on the accuracy of a model

Lesson 5: Solving problems with ML models

Learning objectives

Key vocabulary

Lesson structure

Lesson overview

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