Please I need urgent help. It will be a great help

Note: I need explanation and mathematical solve. not code

Transform the following 1-D data using a Kernel function so that the data points of class label 1 (denoted with circles) and class label -1 (denoted with diamonds) could be classified through linear support vector machine (SVM). You have to show the Kernel function as well as the transformed data in 2-D scatter plot. Afterwards, estimate the weight vector w and bias b of the SVM hyperplane to successfully classify the data points. Finally, draw the hyperplane and show the support vectors. 0 N 2 4 6 00 8 10