brianwade1 / bayesian_optimization_nn_heartfailure Goto Github PK
View Code? Open in Web Editor NEWThis project predicts the likelihood for heart failure. The project takes place in three parts: exploratory data analysis (EDA) and data preparation, the creation of three initial binary classification models including logistic regression, random forests, and a neural network. Then, the hyperparameters of the neural net were optimized using Bayesian Optimization.