Support Vector Machine, Machine Learning, Data Science, Deep Learning.
train and predict. Limited to two-class problems: While SVM can be extended to multi-class classification problems using techniques such as one-versus-all or one-versus-one, it is most commonly used for two-class classification problems. Other algorithms, such as decision trees or random forests,