Clothes classification and its color processing.

A CNN-powered binary classifier that distinguishes between cats and dogs using TensorFlow & Keras. It features Data Augmentation to prevent overfitting, custom layers for feature extraction, and automated performance plotting. Perfect for learning how to build robust computer vision models even with limited training data.

Modelo de Clasificación para la identificación de neumonía a partir de imágenes de rayos X aplicando el modelo de Retropropagación y KNN.

This project focuses on performing sentiment analysis on textual data using classical machine learning techniques and basic Natural Language Processing (NLP). The goal is to determine whether a given text expresses a positive, negative sentiment. The model is trained on labeled text data.