GitHub / brianwade1 / Bayesian_Optimization_NN_HeartFailure

This 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brianwade1%2FBayesian_Optimization_NN_HeartFailure

Topics: bayesian-optimization, data-science, feature-engineering, machine-learning, neural-network, python, random-forest

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