Why do we need “kernel trick”?

When we realize that a linear boundary is not providing the better classification, this can be felt by poor accuracy or by some visualizations, after realizing that the going for a linear boundary will not work, we go for kernel trick

Kernel trick helps us to transform the variables into a higher dimension, where they are linearly separable. This helps us to classify the groups in a better way.