How would you do this with sklearn and python?

Consider the following training data, 4 -1 Let = 1 . Without performing feature scaling (to make the numbers easier to compute), create new features using the Gaussian Radial Basis function. If you ran the hard margin SVM algorithm on these data points you would receive coefficients: Ung thoe coeficients,whwod you redict for thee new pointe 71 1.2 2.5 3.25 Consider the following training data, 4 -1 Let = 1 . Without performing feature scaling (to make the numbers easier to compute), create new features using the Gaussian Radial Basis function. If you ran the hard margin SVM algorithm on these data points you would receive coefficients: Ung thoe coeficients,whwod you redict for thee new pointe 71 1.2 2.5 3.25