https://github.com/airdipu/bank-customer-churn
Bank Customer Churn data Analysis
https://github.com/airdipu/bank-customer-churn
Last synced: 3 months ago
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Bank Customer Churn data Analysis
- Host: GitHub
- URL: https://github.com/airdipu/bank-customer-churn
- Owner: airdipu
- License: apache-2.0
- Created: 2023-01-02T10:01:02.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2023-01-02T10:55:42.000Z (over 2 years ago)
- Last Synced: 2025-01-03T20:42:58.513Z (5 months ago)
- Language: Jupyter Notebook
- Size: 284 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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