Understanding SVM for Binary Classification | Step-by-Step Tutorial with Examples

"Welcome to our comprehensive tutorial on Support Vector Machines (SVM) for binary classification! In this video, we break down the basics of SVM, focusing on how it separates two classes with an optimal hyperplane. Using a clear, step-by-step numerical example, we walk through each stage of the training process, explaining key concepts like hyperplanes, margins, and support vectors.

Whether you're new to machine learning or just need a refresher on SVM, this tutorial has you covered. You'll learn:

What SVM is and its applications in real-world scenarios
How to interpret the hyperplane, margin, and support vectors
A complete walkthrough of training SVM on a simple dataset
How to use the final model to classify new data points
By the end of this video, you'll have a solid grasp of binary classification with SVM and the confidence to apply these techniques in your own projects!

https://github.com/DeepKnowledge1/Dee...

https://github.com/DeepKnowledge1/Dee...