About the course

Description:

This course provides a comprehensive introduction to machine learning using Python, one of the most popular programming languages for data analysis and modeling. Through a combination of theoretical explanations, hands-on exercises, and real-world examples, you will learn the fundamentals of machine learning algorithms and techniques, and how to apply them to solve practical problems. By the end of the course, you will have a solid understanding of machine learning concepts and be able to confidently build and deploy machine learning models in Python.

Key Highlights:

• Learn the basics of machine learning
• Understand different types of machine learning algorithms
• Gain hands-on experience with Python libraries for machine learning

What you will learn:

• Practical Learning Outcome 2
  Apply machine learning algorithms to real-world datasets and solve practical problems
• Hands-on Learning Outcome 3
  Gain practical experience by working on various machine learning projects using Python
• Advanced Learning Outcome 4
  Explore advanced topics such as deep learning, ensemble methods, and model evaluation