Support Vector Machine, Machine Learning, Data Science, Deep Learning.
overfitting, compared to some other algorithms. Kernel trick: Another key feature of SVM is the use of the “kernel trick,” which allows the algorithm to find complex nonlinear decision boundaries using a dot product in a high-dimensional feature space. This makes SVM a powerful tool for solving