PROGRAMACION

This repository provides examples for building a simple multilayer perceptron (MLP) regression model with PyTorch. You can run the code either as a Jupyter notebook or directly from a Python script.

Contents

• mlp_regression.ipynb – step-by-step notebook that loads data, trains a small MLP, and visualizes the results.
• mlp_regression.py – equivalent Python script you can execute from the command line.
• mlp_classification_exercises.ipynb – solutions for several classification problems using an MLP.

Running

Install the dependencies and execute the notebook or script:

pip install torch matplotlib scikit-learn pandas

# run as script
python mlp_regression.py

Open the notebook in Colab

License

This project is released under the MIT License.