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term-deposit-prediction

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Zeeshan13 / Bank-Term-Deposit-Prediction

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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
  • Updated Oct 29, 2024
  • Jupyter Notebook

MohammadErfanRashidi / Bank-Marketing-Classification

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A machine learning project that predicts term deposit subscription using a Random Forest model and offers both single and batch prediction through a Streamlit app, trained on Portuguese bank marketing campaign data.

python machine-learning exploratory-data-analysis eda data-preprocessing feature-engineering class-imbalance predictive-analytics binary-classification model-deployment random-forest-classifier bank-marketing streamlit term-deposit-prediction feature-selec
  • Updated May 11, 2026
  • Jupyter Notebook

JayeshMahajan8055 / Bank_Marketing_Term_Deposit_prediction

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This project analyzes the Bank Marketing dataset to predict whether a client will subscribe to a term deposit.The workflow includes data loading, preprocessing, EDA, feature engineering, and building machine learning models to classify client responses.The goal is to build a predictive model to assist the bank in potential clients more effectively.

python data-science machine-learning scikit-learn eda pandas classification matplotlib marketing-analytics term-deposit term-deposit-prediction
  • Updated Aug 13, 2025
  • Jupyter Notebook

lohith-b-a / Predicting-Term-Deposit-Subscriptions-using-Machine-Learning

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End-to-end ML project predicting term deposit subscriptions using bank marketing data.

python machine-learning random-forest scikit-learn eda pandas data-visualization xgboost logistic-regression feature-engineering predictive-modeling class-imbalance data-cleaning binary-classification model-evaluation smote gridsearchcv bank-marketing uci-dataset term-deposit-prediction
  • Updated Jul 2, 2025
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