ml1projects

Bank Marketing Classification – ML1 Project

This project uses the Bank Marketing dataset to predict whether a customer will subscribe to a term deposit.

Models Applied

• Logistic Regression
• Decision Tree
• Random Forest

Dataset

UCI Bank Marketing Dataset

Features

Includes demographic, financial, and campaign-related attributes.

Goal

Binary classification: yes or no to subscribing a term deposit.

Future Work

• Try Naive Bayes
• Add XGBoost or LightGBM
• Experiment with Neural Networks

Author

Alaa Khaled – ML1 Course