Support Vector Machine (SVM) for Binary and Multi-Class Classification: Hands-On with Scikit-Learn

Author(s): Carla Martins

Originally published on Towards AI.

Using Python and Google Colab

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Support Vector Machine (SVM) is a classification algorithm based on the linear model. It allows for binary or multi-class classification (applying the one-vs-rest technique). In this article, I will guide you on a full hands-on tutorial to implement the SVM model in both binary and multi-class data.

If you want to know more about SVM and how the algorithm works under the hoods, you can find my other article:

https://medium.com/p/560eb87a7b8

In binary classification, we want to predict in which one of the two categories our data is. In this tutorial, I will… Read the full blog for free on Medium.

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Published via Towards AI