Normalization (Machine Learning): Revision history

10 June 2025

• curprev 06:3406:34, 10 June 2025 Thakshashila talk contribs 2,564 bytes +2,564 Created page with "= Normalization (Machine Learning) = '''Normalization''' in machine learning is a data preprocessing technique used to scale input features so they fall within a similar range, typically between 0 and 1. This helps improve model performance, especially for algorithms sensitive to the scale of data. == Why Normalize Data? == Some machine learning algorithms (e.g., K-Nearest Neighbors, Gradient Descent-based models, Neural Networks) perform better when input features ar..."