This repository focuses on applying machine learning techniques to a dataset containing information on bank notes. It consists of classification task to separate fraudulent from real bank notes, comparing the Naive Bayes and Support Vector Machine classifiers. For this comparison, both the normal test and the McNemar's test were used.
Contributing: We welcome contributions from the community! If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request. Your contributions will help make this tutorial even better for others.
License: This tutorial is provided under the MIT License, which allows you to use, modify, and distribute the code freely.