Unsupervised Learning Explained | K-Means Clustering in Python

Description

In this video, we introduce Unsupervised Learning, a key branch of Machine Learning, and explain K-Means Clustering with both theory and practical implementation in Python.

You’ll learn how K-Means groups unlabeled data, how to choose the optimal number of clusters, and how to implement clustering using Scikit-learn.

🔍 What you will learn in this video:

What is Unsupervised Learning?

Supervised vs Unsupervised Learning

What is clustering?

K-Means algorithm explained step-by-step

Distance metrics (Euclidean distance)

Choosing K using Elbow Method

Practical implementation of K-Means in Python

Visualizing clusters

Real-world applications of clustering

This tutorial is ideal for students, beginners, and Data Science learners.

📌 Tools & Libraries Used:

Python

Scikit-learn

NumPy

Pandas

Matplotlib

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Видео Unsupervised Learning Explained | K-Means Clustering in Python канала Code With Yasir Nawaz