Day 60 – Support Vector Machines(SVM)

In our previous, we have gone through few models Linear Regression Model, Decision Tree Model, Random Forest Model, etc.

Today, In this blog, we will see what a Support Vector Machine(SVM) is.

Support Vector Machine is one of the most popular classification models in the Machine Learning model, which can handle regression, linear or nonlinear classification, and outliers detection. If the datasets are small or medium, then we can use the Support Vector Machine model. However, if the datasets are massive, the model takes time to train and poorly scales out. On the other hand, the model quickly to learn linear and nonlinear decision boundary. Support Vector Machine fit maximum possible boundary between two classes.

We will see Support Vector Machine(SVM) model examples in future posts.

To get more detail, please go to Scikit Learn SVM.