Welcome to the K-Nearest Neighbors
In this beginner-friendly session, we’ll dive into how the KNN algorithm works and how to implement it using Python. You’ll learn:
What is KNN and how it makes predictions
How distance (like Euclidean distance) is used to find neighbors
The role of the “K” value and how to choose it
Using Scikit-learn to build a KNN model
Real-world examples like recommendation systems and image recognition
