Neural Network to Categorize 4 Pokémon Types

This machine-learning project trains a neural network to categorize Pokémon into four types. Python provides the data and training workflow, while TensorFlow defines and runs the model.

The repository separates training from prediction: one program prepares and trains the network, and another uses the resulting model for classification. A companion results document records the analysis in Spanish. The project provides a compact example of moving from a labeled dataset through model training to a reusable prediction step.