https://github.com/karimosman89/customer-churn-prediction

Predict which customers are likely to stop using a service.Build a model to predict which customers are likely to stop using a service or product. This can help companies take proactive measures to retain customers.Provide actionable insights and retention strategies based on the model’s predictions.
https://github.com/karimosman89/customer-churn-prediction

matplotlib-pyplot pandas python scikit-learn seaborn

Last synced: 5 days ago
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Predict which customers are likely to stop using a service.Build a model to predict which customers are likely to stop using a service or product. This can help companies take proactive measures to retain customers.Provide actionable insights and retention strategies based on the model’s predictions.

• Host: GitHub
• URL: https://github.com/karimosman89/customer-churn-prediction
• Owner: karimosman89
• License: mit
• Created: 2024-10-31T12:55:24.000Z (6 days ago)
• Default Branch: main
• Last Pushed: 2024-10-31T14:11:49.000Z (6 days ago)
• Last Synced: 2024-10-31T14:17:19.230Z (6 days ago)
• Topics: matplotlib-pyplot, pandas, python, scikit-learn, seaborn
• Language: Python
• Homepage:
• Size: 258 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Customer Churn Prediction

This project predicts customer churn using machine learning techniques.

## Overview

The goal is to identify customers likely to leave a service, allowing for targeted retention strategies.

## Dataset

- Source: [Kaggle - Telco Customer Churn](https://www.kaggle.com/datasets/blastchar/telco-customer-churn)

## Setup

Install dependencies:

        pip install -r requirements.txt

## Usage

- Run the preprocessing script:

          python src/preprocess.py

      

- Train the model:

        python src/model.py

### Evaluation

The model is evaluated using:

- **Accuracy**

- **Precision**

- **Recall**

- **F1 Score**