In this video I have explained Support vector machine(SVM) with practical example.
SVM is a popular machine learning algorithm and mostly used for classification problems but we can use it for regression problems also.


Dataset link: https://github.com/AarohiSingla/SVM/b...


The objective of the support vector machine algorithm is to find a hyperplane (Line)which is separating the classes of your dataset in a good way . For that we calculate a Margin. A margin is a gap between the line with the closest class points of the dataset. I have explained the whole concept in a video. Please go through it.

If you have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer your queries.

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