Pipeline for binary classification algorithm evaluation with nested cross validation and Bayesian hyperparameter tuning with optuna, particularly suited for unbalanced medical datasets.

The purpose of this data classification analysis and modeling is to find out what the diagnoses are in patients so that they receive further treatment, can be cured, and minimize death. This modeling uses 4 Machine Learning (Supervised) algorithms.

My repository of Machine Learning by UFMG