Predicting Term Deposit Subscriptions
Binary classification project predicting whether a bank customer will subscribe to a term deposit, based on demographic, transaction, and marketing-campaign features.
Project Highlights
Full pipeline: data preprocessing, feature engineering, and classification model training on bank marketing-campaign data.
Compared Naive Bayes and J48 Decision Tree, evaluated with Accuracy, Precision, Recall, F1-score, and ROC-AUC.
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