** Support Vector Machines (SVMs) are a type of machine learning algorithm that can be used for classification tasks. In this article, we explore the concept of Soft Margin SVMs, which allow for misclassified points in the training data by introducing slack variables. The goal is to balance two objectives: minimizing the model's complexity and maximizing its accuracy.

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Source: https://dev.to/harsimranjit_singh_0133dc/support-vector-machines-from-hard-margin-to-soft-margin-1bj1