Support Vector Machines (SVMs) are powerful machine learning algorithms commonly used for classification and regression tasks. In SVM, the goal is to find a hyperplane that separates the data points into different classes. However, in some cases, the data may not be linearly separable, meaning that a single hyperplane cannot effectively classify the data. To