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
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Updated
Feb 3, 2022 - Jupyter Notebook