Análisis sobre la tabla stars de dslab

Actividad 5 Visualización de datos donde se analiza el conjunto de datos de precios de combustibles de Colombia en 2023 y se grafica a través de un mapa.

This project presents an analysis and implementation of an Artificial Neural Network (ANN) model using the Haberman dataset, which contains data on breast cancer patients. The primary goal is to predict patient survival based on features such as age, year of operation, and the number of positive axillary nodes detected. The ANN model is built and trained using R, with steps including data normalization, splitting into training and testing sets, and evaluating the model's accuracy. Visualizations of the neural network structure are also provided to illustrate the model's architecture.

Início do relatório dos dados de medicamentos da prefeitura do Recife

first time testing.

Eth private banks Net Income comparison per year