Lesson 5: How to solve problems with machine learning models

Train and test a machine learning model to solve a real-world problem.

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 overview

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