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This repository contains a tutorial and practical implementation of Support Vector Machines (SVM), a powerful supervised machine learning algorithm used for classification and regression tasks. The Jupyter Notebook provided explains the theory behind SVM, demonstrates how the algorithm works, and showcases practical examples of its application on real datasets. Support Vector Machines are particularly effective in high-dimensional spaces and are often used in applications like image classification, text categorization, and bioinformatics. The following topics are covered in the Jupyter Notebook: To use this repository, you will need the following tools installed: Clone the repository to your local machine:

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