Machine learning project predicting bank term deposit subscriptions using customer demographics and campaign data. Features multiple ML models (Random Forest, Logistic Regression, Decision Tree), SMOTE for class balancing, and interactive Streamlit app for real-time predictions.
machine-learning random-forest scikit-learn exploratory-data-analysis pandas logistic-regression feature-engineering predictive-modeling decision-tree binary-classification smote customer-analytics bank-marketing streamlit-app class-balancing subscription-prediction term-deposit-prediction
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Updated
Oct 29, 2024 - Jupyter Notebook