Machine Learning Basics – No Prep Lesson Pack – Unit 05

Machine Learning Basics – No Prep Lesson Pack – Unit 05

A complete, classroom-ready machine learning introduction resource for beginner Computer Science, ICT, STEM, Python, artificial intelligence, machine learning and data science lessons.

This no-prep lesson pack introduces students to the core ideas behind machine learning. Students learn how machine learning differs from traditional rule-based programming, how models learn from data, and why training, testing, overfitting and underfitting are important in real AI systems.

The unit also introduces a beginner-friendly machine learning workflow, including input data, target values, model training, prediction and evaluation. Students explore simple examples such as prediction tasks and linear regression without requiring advanced mathematics.

This resource is prepared as part of Fatih ARICA’s AI & Machine Learning Fundamentals teaching resource series and is designed to support the AI & Machine Learning: European Edition learning sequence.

What is included:

• Course Promo Page PDF and editable DOCX
• Full Teacher Package PDF and editable DOCX
• Lesson Plan PDF and editable DOCX
• Summary Notes PDF and editable DOCX
• Student Worksheet PDF and editable DOCX
• Answer Key PDF and editable DOCX
• Teacher Handbook PDF and editable DOCX
• Printable Activity Cards PDF and editable DOCX
• Exit Tickets PDF and editable DOCX
• PowerPoint slide deck
• 800 × 600 TES cover image
• Read Me First file

Students will learn to:

• Explain what machine learning means
• Distinguish rule-based programming from data-driven learning
• Understand inputs, target values, models and predictions
• Describe the basic machine learning workflow
• Explain why data is split into training and testing sets
• Recognise overfitting and underfitting in simple terms
• Understand the basic idea of linear regression
• Connect machine learning models with responsible AI, fairness and evaluation

Ideal for:

• Computer Science lessons
• ICT and digital skills lessons
• STEM enrichment
• Beginner Python lessons
• Artificial intelligence and machine learning units
• Data science introduction lessons
• Secondary, high school and vocational education
• Non-specialist teachers introducing machine learning concepts

Series information:

This is Unit 05 of the AI & Machine Learning Fundamentals Series.

Previous units:
Unit 01 – Introduction to Artificial Intelligence
Unit 02 – AI Development Environment Setup
Unit 03 – Data Handling with NumPy & Pandas
Unit 04 – Data Visualisation with Matplotlib & Seaborn

Continue with:
Unit 06 – Scikit-learn in Depth
Unit 07 – Classification Algorithms

This resource can be used as a standalone complete lesson pack or as part of the full beginner-friendly AI and Machine Learning teaching sequence.

Resource details:

Resource type: Lesson (complete)
Age range: 14-16, 16+
Subject: Computer Science
Level: Beginner AI & Machine Learning
Format: PDF, editable DOCX and PowerPoint PPTX files