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What is Support Vector Machine?

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Support Vector Machine is a Machine Learning algorithm used for both classifications as well as regression problems. In this algorithm, each data is plotted in such a way that the value of every feature is the same as the value of that co-ordinate. You can then perform classification by t finding the hyper-plane that helps in differentiating the two classes – hyper-plane, and line.

Also, Support vectors are the coordinates of the observation while the Support Vector Machine is a machine or a frontier that segregates the classes.

If you wish to learn in-depth about Machine Learning and the working of Support Vector Machine then you should enroll for Machine Learning Course.

You should also watch this tutorial on Machine Learning:

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