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Predicting if Customers will Default on Loans Using ML Classification Algorithms

Home Page: https://github.com/cgatama/ML-with-python-Customers-Loan-Default-Prection

Jupyter Notebook 100.00%
accuracy-score decision-trees evaluation-metrics jaccard-score jupyter-notebooks knn log-loss-score-metric logistic-regression matplotlib numpy pandas python scikit-learn scipy svm-classifier

ml-with-python-customers-loan-default-prection's Introduction

Machine Learning Classification Problem with Python

Predicting if Customers will Default on Loans

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).

ml-with-python-customers-loan-default-prection's People

Contributors

brt-h avatar cgatama avatar

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