Support Vector Machine (SVM) is a supervised machine learning algorithm that excels in classification tasks by finding the optimal hyperplane that maximizes the margin between different classes, utilizing support vectors and kernel functions for both linear and non-linear data.| GeeksforGeeks
Machine learning, a subset of Artificial Intelligence, enables computers to learn from data and make predictions through various techniques such as supervised, unsupervised, and reinforcement learning, along with essential steps for model training, deployment, and operationalization.| GeeksforGeeks
A decision tree is a graphical tool that aids in decision-making by visually representing choices and their potential outcomes, with applications in various fields such as banking, healthcare, and education.| GeeksforGeeks