Course Description

This course provides an introduction to machine learning concepts and algorithms. Students will learn about supervised and unsupervised learning, neural networks, decision trees, and support vector machines. The course includes practical implementations using Python and popular machine learning libraries.

Learning Objectives

• Understand fundamental machine learning concepts and algorithms
• Implement and evaluate machine learning models using Python
• Apply appropriate machine learning techniques to solve real-world problems
• Analyze and interpret results of machine learning experiments
• Understand ethical considerations in machine learning applications

Assessment Criteria