SVM

The Support Vector Machines (SVM) algorithm is one of the most powerful and versatile supervised machine learning algorithms. Their popularity stems from their effectiveness in high-dimensional spaces and their robustness to overfitting making it one of the popular models. SVM's ability to excel in environments with high-dimensional data and its inherent defense against overfitting make it a preferred choice for many classification problems, particularly those involving complex and large datasets. This robustness and versatility allow SVM to deliver strong performance across various domains, including both traditional and cutting-edge applications.