FeatureScaling.md (395B)
1 # Feature Scaling 2 3 ML CH2 4 5 **Definition:** Feature scaling is the process of changing input features to be scaled in a similar way. 6 7 Feature scaling is important because machine learning algorithms don't do well when you have lots of vectors that use vastly different scales of values. 8 9 There are two types of feature scaling namely [MinMaxScaling](MinMaxScaling.md) and [[Standardization.md]]