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What is KNN ( K-Nearest Neighbors ) ?

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KNN is a supervised algorithm that classifies data based on the "k" nearest data points.

KNN is like asking your neighbors for advice!

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How Does KNN Work ?

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• Explain

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Key Points to Remember

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• Supervised Learning: You already know the labels (apple or orange) for the training data.
• k is Crucial:
  • A small k can make the model sensitive to noise.
  • A large k might overlook smaller patterns.

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How to choose value of “K”

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1. Start with Odd Values: Use odd values (e.g., 1, 3, 5, etc.) to avoid ties in classification problems.

2. Use the Square Root Rule: