The Easiest Way to Implement and Understand Linear SVM (Linear Support Vector Machines) Using Python

Learn how to implement Linear Support Vector Machine in Python. A Support Vector Machine (SVM) is a very powerful and versatile Machine Learning model, capable of performing linear or nonlinear classification, regression, and even outlier detection. It is one of the most popular models in Machine Learning, and anyone interested in Machine Learning should have it in their toolbox. SVMs are particularly well suited for the classification of complex but small or medium-sized datasets.

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Submitted August 28, 2020 at 04:41PM by argothecat https://ift.tt/2EshFPm