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 classification business scenarios are:
- Support Vector Machine
- Logistic Regression
- Decision Tree
- Random Forest (RF)
- Gradient Boosting (GB)
- Neural Network
In this blog we will focus on using using Support Vector Machine for Classification problems. In the previous blog, we had focused on explaining concept of Support Vector Machine (SVM) algorithm using an example. Aim is to provide a beginner level tutorial on - SVM using R.
No comments:
Post a Comment