Answer / Deepa Hansda

Support Vector Machine (SVM) is a supervised machine learning algorithm used for both classification and regression. In classification, it finds the optimal hyperplane that separates data points of different classes with the maximum margin. SVM can handle multi-class classification using techniques such as one-vs-one and one-vs-all. For non-linearly separable data, SVM uses kernel tricks to transform data into higher dimensions where it becomes linearly separable.

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