Machine Learning for Absolute Beginners is a simple and easy-to-follow course for anyone who wants to understand how machines “learn” from information and use it to make decisions. You don’t need to be a technical expert or have advanced knowledge—everything is explained in plain words with examples from everyday life.

Over 8 Weeks (16 Sessions), you will learn how machines spot patterns, make predictions, and help improve services that we all use daily. For example, you’ll see how online stores suggest products you may like, how banks catch fraud, and how schools or hospitals use data to improve results.

The course also talks about the challenges—like when machines make mistakes, when data is unfair, or when privacy becomes an issue. This helps you understand not just the good side but also the problems that come with it.

By the end of the course, you’ll work on a small project where you’ll use simple data to make a prediction (like guessing student scores). This will give you hands-on experience and help you see how the concepts work in real life. This course is perfect for students, beginners, or anyone curious about how modern technology is shaping the world around us.

Learning Outcomes

By completing this course, you will be able to:

1. Understand what machine learning means – explained in easy language with simple examples.
2. Know the different types of learning systems – and how they are used in real life.
3. See why data is important – and how it is collected, cleaned, and organized.
4. Learn how machines find patterns – and how they use information to make predictions.
5. Discover real-world uses – in shopping, fraud prevention, healthcare, and education.
6. Understand the limitations – such as mistakes, unfair data, and privacy concerns.
7. Try a small project – where you’ll use basic data to make simple predictions.
8. Build a strong foundation – so you can move on to more advanced topics in the future.