Overview Binning refers to the creation of new categorical variables using numerical variables. Discretization can also be used to describe the process of converting continuous functions, models, and variables into…
Overview Feature Scaling is one of the most vital steps of feature engineering as well as data pre-processing in general. To comprehend feature scaling clearly, we can look at an…
Overview Feature Transformation is the process of replacing a variable with an operation, which usually aids in the transformation of complex relationships that may be non-linear into linear relationships. It…
Overview Outlier treatment is an additional procedure in the pre-processing of data. It can be done prior to missing value Imputation (one might choose to perform missing value treatment before…