Support Vector Machine (SVM) Explained: Implementation from Scratch + scikit-learn Comparison

In this tutorial, I explain the Support Vector Machine (SVM) algorithm, focusing on its application to linear classification problems. We'll explore how SVM works to separate data using a decision boundary (hyperplane) and then implement a simplified version of the algorithm from scratch in Python. Finally, I demonstrate how to solve the same problem using the powerful scikit-learn library, comparing the two approaches to understand their efficiency and usability.

Github: https://github.com/pagajow/yten_01_deepandbetter/tree/main/YT0004_support_vector_machine

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