Dive deep into the intuition behind Support Vector Machine (SVM) kernels, focusing specifically on polynomial kernels in this third installment of a machine learning tutorial series. Explore the use cases for polynomial kernels, understand their mathematical foundations, and learn how to effectively tune hyperparameters for optimal performance. Gain valuable insights into this powerful technique for non-linear classification and regression tasks in data science and machine learning applications.