# Full Article On svm From classification to kernel selection to outlier detection with code in R and python

Basic Informatica: Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection. The advantages of support vector machines are: Effective in high dimensional spaces. Still effective in cases where number of dimensions is greater than the number … Continue reading Full Article On svm From classification to kernel selection to outlier detection with code in R and python