This repository contains a Jupyter notebook detailing a task completed for the Intelligent Systems course as part of the Bioinformatics degree at the University of Málaga. It demonstrates the process of modeling a NAND gate using a single-layer perceptron, a foundational concept in neural networks and digital logic.

• NAND_Perceptron.ipynb: The main Jupyter notebook with step-by-step explanations, code, and visualizations.
• plots: This directory contains the visualizations of the decision boundary evolution and convergence plot.

Feel free to fork this project, submit pull requests, or send me suggestions for future improvements. If you're curious about my other work or have any questions, check out my GitHub profile.

A shout-out to my Intelligent Systems professors and peers at the University of Málaga for their support and insights throughout this course.