Meramal hubungan antar peubah, yaitu angka harapan hidup dengan pertumbuhan populasi di Indonesia

This report demonstrates the use of an Artificial Neural Network (ANN) to predict patient survival based on the Haberman’s Survival Dataset. Key steps include exploratory data analysis, feature scaling, data normalization, and building a neural network with two hidden layers. The analysis explores the relationship between patient age, surgery year, and lymph node count in predicting survival outcomes, and presents the final model's predictions and performance.