In this repository, you will find a comprehensive collection of in-depth explanations, intuition, questions, and answers related to the Support Vector Machine (SVM) algorithm. Additionally, you will ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...

2.1. Support Vector Machines. Support vector machine learning is the most commonly used “off-the-shelf” supervised learning algorithm [1] . SVM solves problems in both classification and regression.

Support Vector Machines are powerful supervised learning models used for classification and regression analysis. In this project, I have utilized the SVM algorithm to build a model that can classify ...

The Support Vector methods was proposed by V.Vapnik in 1965, when he was trying to solve problems in pattern recognition. In 1971, Kimeldorf proposed a method of constructing kernel space based on ...