Description
Support vector machines are one of the supervised learning methods. The basis of the SVM classifier is the linear classification of data, and in linear segmentation of data, we try to choose the line that has the most reliable margin. Solving the optimal line equation for data is done by QP (Quadratic Programming) methods, which are known methods for solving constrained problems.
Content title:
Introduction of support vector machine
Support vector programming in Python
Example 1 support vector machine in Python
Example 2 Support vector machine in Python (character identification)
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