Course Content

Course Content


Many people prefer the support vector machine because it produces great accuracy while using less computing power. SVM (Support Vector Machine) is a type of machine that may be used for both regression and classification. However, it is extensively employed in categorization goals.

The Support Vector Machine, or SVM, is a linear model that can be used to solve classification and regression issues. It can solve both linear and nonlinear problems and is useful for a wide range of applications. SVM is a basic concept: The method divides the data into classes by drawing a line or hyperplane.

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