Hyperplane in SVM

Introduction
Support Vector Machines
Hyperplane
Finding the best hyperplane
Conclusion

Introduction

Support Vector Machines (SVMs) are powerful machine learning models that can be used for both classification and regression tasks. In classification, the goal is to find a hyperplane that separates the data points of different classes with maximum margin. This hyperplane is known as the "optimal hyperplane" or "maximum-margin hyperplane".

To understand the concept of the hyperplan...