Data Science, Machine Learning, Support Vector Machine, Python.
classes. Then, during training, SVM will look for the hyperplane that best separates the classes. The separation is chosen by maximizing the distance between the closest points of each class, which are known as “support vectors.” When the data is linearly separable, this is an easy task that even