you will learn

• What are Support Vector Machines?Features of SVM and its applicationExplanation of different SVM hyperparametersPython implementation for Multiclass classification

SVM algorithm was proposed by Vladimir N. Vapnik and Alexey Ya. Chervonenkis in 1963

Support vector machine is a supervised machine learning algorithm used for classification as well as regression. SVM’s objective is to identify a hyperplane to separate data points into two classes by maximizing the margin between support vectors of the two classes

• Support Vectors
• Hyperplane and Margins
• Features of Support Vector Machine
• Applications of SVM
• Hyperparameters of SVM
• Multiclass classification using Support Vector Classifier

#machine-learning #classification #python #supervised-learning