Case study of Bank Customer Churn data

This is a repository include Python Notebook for Bank customer churn data analysis. The task is to use the data from the dataset to answer a set of questions related to churn.

Introduction

Churn represents the number of customers that have stopped using bank products or services during a given period of time. To understand the customer for better result oriented services, churn data analysis for case study is very important for authorities.

Code run

Need to keep data and file in the same folder to run the Python notebook.

Dataset

The dataset contains the following columns:

• customer_id: the account number
• credit_score: the credit score of the customer
• country: the country of residence
• gender
• age
• tenure: how long the customer has had the bank account
• balance: account balance
• product_number: the number of products from the bank
• credit_card: does the customer have a credit card?
• active_member: Is the customer active?
• estimated_salary: the estimated salary of the customer
• chrun: has the client left the bank?

Installation

Install requird python libraries by using requirements.txt

pip install -r requirements.txt

Overview of files

case_study_churn_data.ipynb - Python Notebook for Bank customer churn data analysis.

Author

Copywright@ 2022 Abdur Rahman

Licence

Permissive Apache License 2.0