Support Vector Machine, Support Vector Regression, Support Vector Classifier, Support Vectors, Machine Learning.
the problem we are trying to solve. Training the Model: During training, the SVM algorithm adjusts the parameters of the hyperplane to maximize the margin between the two classes. This involves solving an optimization problem that involves finding the optimal values for the hyperplane parameters.