The primary goal of normalization is to bring all the features of a dataset to a similar scale, typically between 0 and 1. This helps in comparing different features on a uniform basis and prevents features with larger numerical values from dominating the model training process.
Conditions: Used when dataset features have varying values.; Goal is to bring features to a similar scale.
The primary goal of normalization is to bring all the features of a dataset to a similar scale, typically between 0 and 1. This helps in comparing different features on a uniform basis and prevents features with larger numerical values from dominating the model training process.
Conditions: Used when dataset features have varying values.; Goal is to bring features to a similar scale.