Main Article Content
Abstract
In the domain of Machine Learning and Deep Learning, classification is the widely applied task for a variety of class-based problems such as classification of image, sentiments prediction, pattern recognition, hand-digit recognition, and other class prediction based problems. In this paper, the internal working of supervised learning technique, Support Vector Machine (SVM), is discussed with its application on different types of classification problems. In addition, this paper discusses the problematic approach to use different levels of SVMs depending on the type of problem.