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Aprende R y Python con Julio Hurtado

This analysis leverages neural network models to explore and predict patient survival outcomes based on Haberman's Survival Dataset. The dataset, containing records from a breast cancer study conducted between 1958 and 1970, includes features such as age, year of operation, and number of positive axillary nodes. This document provides a comprehensive walkthrough of the data, including exploratory data analysis (EDA), preprocessing steps, and the construction and evaluation of a neural network model. Key insights and performance metrics of the neural network are discussed to assess its predictive capability in classifying patient survival status.