## Kernels and Support Vector Machines

Given a supervised classification problem with the set of N training examples along with the class labels , i.e. , we need to build a model to predict the class label for an unseen example. Some of the algorithms we have already encountered and some we will encounter in later posts such as the Logistic Regression, Naive Bayes, Adaboost, Gradient Boosting, KNN, Support Vector Machines, Neural Networks etc. In this […]