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In this Notebook, we conducted a comprehensive Exploratory Data Analysis (EDA) on a Credit Card Dataset, utilizing advanced visualization techniques. Here, we attempted to perform both univariate and bivariate analyses simultaneously.
Let's analyze the data to uncover valuable insights that shed light on the behavior of churned customers. By leveraging this data, we can enhance our service offerings and influence customers to make decisions that align with our objectives. Additionally, our objective is to forecast customer churn using the dataset and uncover valuable insights to help the bank minimize the churn rate among customers.
Analyze customer profiles within the bank and make predictions on potential churn behavior. As part of the requirements, students are tasked with independently defining the concept of a "churned customer."