Welcome to Imarticus Learning! In this video, we explain the main differences between parametric and non-parametric algorithms in machine learning. If you're just starting out or planning to become a data scientist, this topic is very important. It helps you choose the right type of model depending on your data and goals. We’ll talk about what parametric algorithms are, how they work, and why they are useful. We’ll also cover their limitations. Then, we’ll explain non-parametric algorithms, how they offer more flexibility, and when to use them. You’ll also learn about the pros and cons of both types and see real examples of how these algorithms are used in fields like finance, healthcare, and marketing. If you're looking for the best machine learning course, Imarticus Learning can guide you with expert-led training, hands-on projects, and industry-relevant content. Watch the full video to understand these key concepts in a simple and practical way.