Regression vs Classification vs Clustering | Machine Learning Explained for Beginners
Welcome to today’s Machine Learning Masterclass!
In this video, we’ll make the most confusing ML terms — Regression, Classification, and Clustering — super easy to understand.
We’ll start with the basics of what Machine Learning is, how it works, and then go step-by-step into:
✅ Regression – predicting continuous values (like house prices, sales, or temperature)
✅ Classification – predicting categories (like spam vs not spam, cat vs dog)
✅ Clustering – grouping similar data points when no labels are given (like customer segmentation)
By the end of this 9-minute video, you’ll know:
The difference between regression, classification, and clustering?
When to use each algorithm?
What kind of data each method needs?
Key technical terms explained in simple words?
Chapters:
00:00 - Three pillars of ML
00:42 - What is ML?
01:39 - 3 Steps of every ML model
03:05 - 1.Regression
05:16 - 2.Classification
06:41 - 3.Clustering
08:06 - Hints to choose the right one?
Perfect for:
Beginners, Students, Data Science Learners, and anyone starting in Machine Learning.
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