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Support Vector Machine Clearly Explained
Support Vector Machines (SVM) are powerful supervised learning algorithms used for both classification and regression, designed to find the optimal hyperplane that separates classes with the largest possible margin. When data isn't linearly separable, SVM applies kernel tricks to transform it into higher dimensions where linear separation ...
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