Analysis of a dataset using different techniques to train and evaluate models with unbalanced classes, aimed at reducing bias and predicting accurate credit risk.
machine-learning linear-regression scikit-learn supervised-learning ensemble-learning logistic-regression confusion-matrix decision-trees predictions oversampling boosting undersampling oversam smoteenn smoteen bootstrap-aggregation vector-machine custom-encoding
-
Updated
Feb 3, 2022 - Jupyter Notebook