Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
calculating the transformed features. It enables SVM to effectively handle non-linearly separable data by finding complex decision boundaries in the transformed feature space. In SVM, the decision boundary is determined by a subset of the training data called support vectors. These support vectors