Feature transformation is a technique in machine learning that changes the way features are represented in order to improve the performance of machine learning algorithms. This can be done by transforming the features to a different scale, removing outliers, or creating new features from existing
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Feature transformation refers to the process of altering or converting the original features (input variables) in a dataset to create new features that can help improve the performance of a machine learning model.
Normalization
Standardization
Logarithm Transformation
Robust Scaler
Min Absolute Scaler
