Outrageously Funny Word Dictionary :: Preprocessors

👉 Preprocessors are components that perform preprocessing steps on data before it is used for machine learning or other applications. These preprocessing steps typically include normalization, feature scaling, and extraction of relevant features from the input data. In machine learning, preprocessor functions are often used to transform or convert raw data into a format suitable for use in training models. Examples of common types of preprocessors include normalizing data (such as scaling values between 0 and 1), scaling features (to make them comparable across different

preprocessors