Support Vector Machine (SVM): Margins, Kernels, and Classification

A detailed SVM lecture explaining decision boundaries, hyperplanes, margins, support vectors, hard and soft margins, C parameter, kernels, gamma, feature scaling, workflow, and Python implementation.

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