Description:

This course provides an introduction to machine learning, a powerful subset of artificial intelligence that enables computers to learn and make predictions without being explicitly programmed. You will learn the basic principles and techniques used in machine learning, including supervised and unsupervised learning, regression and classification algorithms, decision trees, neural networks, and more. Through hands-on exercises and projects, you will gain practical experience in applying machine learning algorithms to real-world datasets. By the end of this course, you will have a solid foundation in machine learning and be able to use it to solve various problems.

Key Highlights:

• Learn the fundamental concepts and techniques of machine learning
• Understand the real world applications of machine learning in real world
• Develop the skills and knowledge required for a career in machine learning

What you will learn:

• Learning Outcome 1
  Understand the basic concepts of machine learning and its applications
• Learning Outcome 3
  Understand the real world applications of machine learning in real world
• Learning Outcome 6
  Develop the skills and knowledge required for a career in machine learning