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What is Normalization vs Standardization in ML about?

The document discusses normalization and standardization techniques used in machine learning to adjust feature scales, ensuring equal contribution to models. It also covers overfitting and underfitting, which describe how well a model generalizes to new data, along with their symptoms, causes, and prevention strategies. Normalization scales data to a specific range, while standardization transforms data to have a mean of 0 and a standard deviation of 1.

Author

mous7457

Language

EN