Exploratory data analysis on a bank customer dataset

Whether we are creating a dashboard, doing predicting analytics, or working on any other machine learning task, we first need to explore the data at hand. We should obtain a thorough understanding of the data and the relationships among variables.

There are many tools and packages that can be used to analyze data. What they all have in common is that the best way to learn them is through practice.

In this practical article, we will explore a dataset that contains information about the customers of a bank. The ultimate task is to predict whether a customer will leave the credit card services of the bank.

We will be using Pandas for data analysis and manipulation and Seaborn to create visualizations.

#python #data-science #pandas #data-analysis #seaborn