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