What is KNN? K-Nearest Neighbors Explained for Beginners

How does a machine decide by looking at its closest neighbors? 🤔

That’s the idea behind K-Nearest Neighbors (KNN).

KNN is a simple and powerful Machine Learning algorithm used for classification and regression.

How it works:

🔹 A new data point appears
🔹 The model checks the K closest data points
🔹 It uses majority voting to decide the category

Example:

🍎 If 2 out of 3 nearest neighbors are Apples
The new fruit is predicted as Apple.

K represents the number of neighbors considered before making a decision.

Key idea:

Look at neighbors → Vote → Predict

KNN is widely used in pattern recognition, recommendation systems, and classification tasks.

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