Explain Kernel Trick for SVM

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Explain Kernel Trick for SVM
A Kernel Trick is a simple method where Non-Linear data is projected onto a higher dimension space so as to make it easier to classify the data where it could be linearly divided by a plane. This is mathematically achieved by the Lagrangian formula using Lagrangian multipliers.

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Please work on a project video series. One solid ML or DL project

shubhamsharma-sflx