The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.

Marketing refers to activities undertaken by a company to promote the buying or selling of a product or service. Marketing includes advertising, selling, and delivering products to consumers or other businesses. Our data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone ca…

Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.

This project was developed during the “Introduction to Machine Learning” Bootcamp organized by Global AI Hub in collaboration with Akbank.

Bank Marketing Data Set Binary Classification in python

Bank Marketing Prediction using R

Fortivus is a machine learning project that uses Logistic Regression to analyze real bank marketing data. It predicts whether a customer will subscribe to a term deposit, supporting smarter marketing strategies and data‑driven decisions.

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.

Analyzing user data to predict their choice of enrolling in a term deposit. Deriving insights from the data to target customers during marketing.

Bank Marketing Data Set

Machine Learning project to predict whether a bank customer will subscribe to a term deposit using classification models.

Proyecto de Data Science que analiza campañas de marketing bancario usando Machine Learning interpretable para priorizar clientes y mejorar la tasa de conversión.

Use a PyTorch dense-net to predict if a client subscribes to a term deposit

Exploratory data analysis and preprocessing of a Bank Marketing dataset using R — includes data cleaning, outlier handling, feature engineering and statistical analysis

Machine Learning project using Decision Tree & GridSearchCV to predict customer subscription behavior in a bank marketing campaign.

Decision Support Software

Using classification to predict whether the customer will subscribe to the bank's term deposit or not

Binary classification project using the Bank Marketing dataset (UCI Repository).