This project uses machine learning to anticipate whether customers of a Portuguese bank will open a long-term deposit as a response to a marketing campaign.
The bank wants to optimize its marketing strategy by identifying customers likely to open a long-term deposit. This project aims to build a machine learning model to anticipate customer responses to the marketing campaign.
We utilize a dataset provided by the bank, containing customer demographics, transaction history, and interaction details with previous marketing campaigns and etc. The training dataset consists of 39,188 rows, with the target variable indicating whether the customer opens a long-term deposit account.
- Clone the repository:
git clone https://github.com/youngbenyamin/ML-CustomerResponseAnticipator.git