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.
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.
Need to keep data and file in the same folder to run the Python notebook.
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?
Install requird python libraries by using requirements.txt
pip install -r requirements.txt
case_study_churn_data.ipynb - Python Notebook for Bank customer churn data analysis.
Copywright@ 2022 Abdur Rahman
Permissive Apache License 2.0