The following project focus on the analysis of a dataset 'Bank Marketing' which contains data about customers and aims to get useful insights from the data and predict if a new customer will accept a deposit offer or not. The project is structured as follows: - Data Cleaning + Feature Engineering - Exploratory Data Analysis - Data preparation for ML algorithms - Logistic regression model - Results Summary