Artificial Neural Network Modeling of Drug Solubility in Cosolvent Systems

This notebook implements an artificial neural network (ANN) to predict drug solubility in cosolvent systems. It includes data preprocessing, model architecture definition, training, and performance evaluation using regression metrics. The goal is to explore the non-linear relationships between solubility and experimental variables such as temperature and cosolvent composition.