DATA PREPROCESSING
Operations done on the data to make them suitable for machine learning models
AGGREGATION
the process of combining 2 ore more attributes into a single one, this can be done to obtain differet goals:
- data reduction
- change of scale
- more stable data
SCALING
SAMPLING
the process of reducing the dataset dimensions making samples
DIMENSIONALITY REDUCTION
the process of reducing the number of features
FEATURE SUBSET SELECTION
the process of selecting a subset of feature\
FEATURE CREATION
the process of creating new features from existing data