The Support Vector Machine is a powerful algorithm for supervised learning that’s widely used in classification and regression. It is especially effective in high-dimensional space and is well known for its robustness when handling complex datasets. SVM, like other machine-learning algorithms, has strengths and weaknesses that affect its suitability for different tasks. https://www.sevenmentor.com/data-science-course-in-pune.php

SVM’s ability to handle data with high dimensions is one of its most important advantages. SVM is able to perform exceptionally well in scenarios where the number