Support Vector Machines (SVM) in R: Master Linear, Polynomial & RBF Kernels (2025)
✨ What you’ll learn:
Understanding the SVM concept and its application in machine learning
Applying the Linear Kernel for linearly separable data
Using the Polynomial Kernel to capture non-linear relationships
Implementing the Radial Kernel (RBF) for complex decision boundaries
Hyperparameter tuning (cost & gamma) for optimal model performance
Step-by-step practical implementation of SVM in R using a real dataset
📥 Download the CSV file used in this lecture:
https://drive.google.com/file/d/1NwAf...
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