Data Science, Kernel Trick, Nonlinear Models, Machine Learning, Data Transformation.
extract the 3 most relevant features (dimensions with the highest variance). The resulting 3 dimensions are visualized in a scatter plot. The scatter plot shows that the additional information coming from the third (PCA) dimension is conclusive to make the given problem linearly separable. To