This video is based on the Support Vector Machine Algorithm which is used for classification and regression problems. The main purpose of the video is to give you basic intuition behind the concept of the SVM Algorithm, we will also be looking at a hands-on demo of the SVM Algorithm.

What is SVM Algorithm in Machine Learning?
SVM is one of the most well-liked algorithms for supervised learning, and it may be applied to both classification and regression issues. However, it is largely employed in Machine Learning Classification issues. The real-life implementation of the SVM Algorithm is face detection, image classification, text categorization, etc. The video is covering its two types that are Linear SVM and Non-linear SVM.

Introduction to Support Vector Machine
SVM's objective is to establish the best line or decision boundary that can divide n-dimensional space into classes, allowing us to quickly classify fresh data points in the future. A hyperplane is a name given to this optimal decision boundary.

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