K-Means Clustering Algorithm: Simplified Tutorial for Data Science | AI ML Course By Srinivasan R

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n this video, we dive deep into K-Means Clustering, one of the most popular unsupervised machine learning algorithms. You’ll learn how this algorithm works, its applications in data science, and how to implement it step by step in Python. Whether you're a beginner or looking to sharpen your skills, this tutorial covers everything from basic concepts to practical examples, helping you understand when and why to use K-Means in your projects.
🔍 What you'll learn:
What is K-Means Clustering?
How does the algorithm work?
Real-world applications of K-Means
Step-by-step implementation in Python
Tips for choosing the right number of clusters
If you’re interested in machine learning, data science, or just want to explore pattern recognition in data, this is the perfect tutorial for you! Don’t forget to like, share, and subscribe for more AI and ML content.