Data Science, Machine Learning, Support Vector Machine, Python.
as follows: minimize 1/2 ||w||² subject to yᵢ(wᵀxᵢ + b) >= 1 for i= 1, 2, …, N Where yᵢ is the target output (i.e., +1 or -1) for the ith training example, xᵢ is the input vector, b is the bias term, and N is the number of training examples. To solve this problem, we can rely on Lagrange