Description:

Learn how to implement machine learning algorithms using Python. In this course, you will start by exploring the fundamentals of machine learning and gradually build upon your skills to become an expert in the field. You will learn about supervised and unsupervised learning, data preprocessing, model evaluation, and more. By the end of the course, you will have a deep understanding of machine learning and be able to apply your knowledge to real-world problems.

Key Highlights:

• Introduction to machine learning
• Supervised and unsupervised learning
• Data preprocessing
• Model evaluation
• Advanced machine learning topics

What you will learn:

• Introduction to machine learning
  Understand the basics of machine learning and its applications in various fields.
• Supervised and unsupervised learning
  Learn about the two major types of machine learning and the algorithms used for each one.
• Data preprocessing
  Discover how to clean and prepare data for use in machine learning models.