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Understanding K-Nearest Neighbors (KNN)
Which is better for Machine Learning: Normalization or Standardization? 🤔 Both techniques are used to solve KNN's biggest weakness: Feature Scale Sensitivity. When features like a house's age and its massive square footage are measured on different scales, the distance calculations get distorted. We break down how to fix this: -Normalization ...
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