Machine Learning - Multiclass SVM | Multiclass Support Vector Machines | Multiclass Classification Vidya Mahesh Huddar

Multiclass SVM | Multiclass Support Vector Machines | Multiclass Classification by Vidya Mahesh Huddar Support Vector Machine (SVM) is a supervised machine learning algorithm mainly used for classification and regression. The basic SVM algorithm is designed for binary classification, meaning it separates data into two classes using a hyperplane. To solve such problems, SVM is extended to Multi-Class SVM, which allows classification among three or more classes. Multi-Class SVM is an extension of the SVM algorithm used to classify data into more than two classes by combining multiple binary classifiers. The following concepts are discussed: ______________________________ Multiclass Support Vector Machines, Multiclass SVM, One vs Rest, One vs One, One vs All ******************************** Follow Us on: 1. Blog / Website: https://www.vtupulse.com/ 2. Download Final Year Project Source Code: https://vtupulse.com/download-final-year-projects/ 3. Like Facebook Page: https://www.facebook.com/VTUPulse 4. Follow us on Instagram: https://www.instagram.com/vtupulse/ 5. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates