Feature Scaling & Normalization
Introduction Feature scaling and normalization are essential steps in machine learning because most algorithms rely on numerical stability and distance-based calculations. When features are on vastly different scales—such as age (0–100) and income (0...
#z-score#ml-preprocessing#feature-scaling#normalization#min-max-normalization#robust-scaling#data-cleaning#machine-learning#modeltraining#data-engineering
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