Listwise vs Pairwise Deletion
Purpose In statistical terms, pairwise deletion and list-wise deletion refer to how missing values are handled when computing statistics or fitting models. How is this done? The deletion process The difference: Pairwise and Listwise Deletion The measure can be anything, the median, correlation coefficient, etc.
Label Encoding
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A Simple Sample Imputation – Quick Way To Learn
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Mean Absolute Percentage Error (MAPE)
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Box-Cox Transformation
Purpose Transforms non-normal data into a normal distribution. How is this done? Where is this used? In training linear regression models. Since the linear regression models assume the normality of its features, this statistical tool comes in very handy to transform a feature with a non-normal distribution into a normal distribution Other uses of it