Overview One of the initial steps in pre-processing is to combine the data sets so that modeling can be performed since the necessary data is scattered across different Consolidation of…
Overview Feature Reduction is the method of reducing the number of variables (features) that are reviewed. Dimensionality Reduction is divided into two sub-categories: Feature Extraction and Selection and of Features. The second will be addressed. …
Overview In embedded techniques, we employ modeling algorithms that use the coefficients of features to minimize the number of features they have. Embedded techniques are one of the most advanced feature…
Overview There are many kinds of statistics described in the inferential statistics section. These tests use statistical methods using filter methods to discover the relationship between an independent feature and…