One of the key issues faced by financial institutions is the prediction of loan default. Two machine learning methods, Random Forest and K-Nearest Neighbors (KNN), are tested in this study, using an ...
Abstract: The carried out investigations deal with the application of machine learning algorithms to Duval Pentagon 1 graphical method for the diagnosis of transformer oil. In fact, combined to ...
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📊 Customer Churn Prediction Using Machine Learning A machine learning project that predicts customer churn using classification algorithms such as KNN, SVC, Logistic Regression, Decision Tree, and ...
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