I’ve created a tutorial to take you through an SVM classifier using a nonlinear dataset – one we can’t just separate with a straight line. Here, we’re also introduced to GridSearch, a super helpful machine learning tool where we can automatically run through lots of hyperparameters to find the best ones for our model and dataset. Check it out!

https://github.com/mikeusru/scikit-learn-training/blob/main/svm_and_nonlinear_classification.ipynb