Data Science, Data Analysis, Machine Learning, Statistics, Data Visualization.
categorization, and bioinformatics due to their ability to handle complex decision boundaries and high-dimensional data. Support Vector Machines (SVM) are applicable in various scenarios, especially in supervised learning tasks where the goal is either classification or regression. Here are some