Bank Marketing Campaign Prediction

Built a logistic regression model to predict customer subscription outcomes in a bank marketing dataset. The project involved preprocessing categorical and numerical features, scaling data, and training a classification model. Predictions were generated for the test set and submitted in Kaggle competition format.