Using different machine learning classification Algorithms to find the best (among Logistic Regression, KNN, SVM, Decision Trees, Linear Regression) to accurately predict if a customer would default on their loan or if it would be paid off by Model evaluation using test set (by report the accuracy of the built model using different evaluation metrics such as Jaccard score, F1-score and LogLoss).
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Predicting if Customers will Default on Loans Using ML Classification Algorithms
cgatama/ML-with-python-Customers-Loan-Default-Prection
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Predicting if Customers will Default on Loans Using ML Classification Algorithms
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