Support Vector Machines Concept | MMC, Soft Margin & Kernels (2025)
✨ What you’ll learn:
Maximal Margin Classifier (MMC): works with perfectly separable data to find the best hyperplane
Support Vector Classifier (Soft Margin SVM): handles non-separable data using slack variables while maximizing the margin
Support Vector Machines with Kernels: solve non-linear problems using Polynomial, RBF, and Sigmoid kernels
Build a strong theoretical foundation for SVM before coding
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