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