SVM for Regression using R

Support Vector Machine for Regression using R Predictive Modelling problems are classified either as classification or Regression problem. Support Vector Machine (SVM) algorithm could be used for both classification and regression scenarios. In the earlier blog, we have explained SVM technique and its way of working using an example In regression problems, the target variable ... Read more

Building Predictive Model using SVM and R

Predictive Modelling problems are classified either as classification or regression problem. Within classification based on the level and type of decision variable (Target Variable), different algorithms could be used. A number of statistical and machine learning techniques are available for both classification and regression type of the problems. Some of the commonly used techniques for ... Read more

Support Vector Machine: Simplified

Support Vector Machine (SVM) is one of the machine learning algorithms used for supervised problem sets mainly.Some of the other algorithms which can be replaced with SVM are Decision Tree, Random Forest, Neural Network or Logistic Regression, specifically for Binary Classification problems. Due to mathematical complexity involved in SVM algorithm, it is some time difficult ... Read more