The purpose of this study is to recommend whether PureLending should use machine learning to predict credit risk. Several machine learning models are built employing different techniques, then they are compared and analyzed to provide the recommendation.
random-forest scikit-learn logistic-regression adaboost loan-applications supervised-machine-learning classification-models smote-sampling random-over-sampling smoteen cluster-centroids-undersampling predicting-risk
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Updated
May 10, 2021 - Jupyter Notebook