What is Feature Scaling? Explain the different feature scaling techniques
Feature scaling is a data preprocessing technique that involves transforming the numerical values of features to a standardized scale.
Feature scaling is a data preprocessing technique that involves transforming the numerical values of features to a standardized scale.
Scaling is necessary for ML algorithms such as Neural Networks, regularized regression, SVM, KNN
Feature scaling is a data pre-processing technique that transforms the original support of a variable to a different scale.
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