https://github.com/swish78/churnpredictor

https://github.com/swish78/churnpredictor

Last synced: about 1 year ago
JSON representation

• Host: GitHub
• URL: https://github.com/swish78/churnpredictor
• Owner: Swish78
• License: apache-2.0
• Created: 2023-09-05T13:02:13.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-09-07T04:04:27.000Z (almost 3 years ago)
• Last Synced: 2025-04-16T01:50:23.054Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 4.36 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Churn Prediction Project

This project focuses on predicting customer churn using machine learning. The dataset is preprocessed to handle categorical variables, and a logistic regression model is trained for prediction. The model is deployed as a Streamlit app, allowing real-time predictions and insights. This tool empowers businesses to take proactive measures to reduce customer churn and enhance profitability.

## Usage

1. Clone the repository.

2. Install the required packages using `pip install -r requirements.txt`.

3. Run the Streamlit app using `streamlit run Churn.py`.

## Project Structure

- `Churn.py`: The main Streamlit app for user interaction.

- `model.pkl`: The trained logistic regression model.

- `requirements.txt`: A list of required Python packages.