Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
each class, which are called support vectors. SVM can handle both linearly separable and non-linearly separable data by using different kernel functions (e.g: linear, polynomial, radial basis function,…) to transform the data into a higher-dimensional space where separation is easier. How SVM