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bankmarketing

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iamishwaryaa / Understanding-Customer-Conversion-in-Bank-Marketing-Campaigns

This project explores customer subscription behavior in banking marketing campaigns using the UCI Bank Marketing dataset. It applies machine learning models to predict which customers are likely to subscribe to a term deposit and identifies key demographic, financial, and campaign-related factors that influence customer decisions.

python exploratory-data-analysis logistic-regression data-preprocessing datavisualization supervised-machine-learning random-forest-classifier gridsearchcv hyperparametertuning modelevaluation bankmarketing feature-importance-analysis customerconversion imbalanceddataset

Updated Mar 13, 2026
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aleeshanadeem / bank-marketing-deposit-prediction

Bank Marketing dataset analysis and deposit prediction using Machine Learning (81% accuracy).

machine-learning scikit-learn eda data-visualization classification data-analysis bankmarketing

Updated May 27, 2026
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Pkerich / Bank-Marketing-DecisionTree-Classifier

A decision tree classification model based on bank marketing data

machine-learning machine-learning-algorithms feature-engineering hyperparameter-tuning decision-tree-classifier kaggle-dataset accuracy-score gini-index bankmarketing

Updated Oct 2, 2024
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