Understand Support Vector Machine (SVM) by improving a simple classifier model

Support vector machines are a popular class of Machine Learning models that were developed in the 1990s. They are capable of both linear and non-linear classification and can also be used for regression and anomaly/outlier detection. They work well for wide class of problems but are generally used for problems with small or medium sized data sets. In this tutorial, we will start off with a simple classifier model and extend and improve it to ultimately arrive at what is referred to a support...