https://github.com/himank-khatri/ann-churn-classification

A Streamlit app for predicting customer churn based on various input features.
https://github.com/himank-khatri/ann-churn-classification

Last synced: about 2 months ago
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A Streamlit app for predicting customer churn based on various input features.

• Host: GitHub
• URL: https://github.com/himank-khatri/ann-churn-classification
• Owner: Himank-Khatri
• Created: 2024-12-23T08:20:37.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-12-30T18:12:15.000Z (9 months ago)
• Last Synced: 2025-03-02T09:33:48.962Z (7 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 485 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Customer Churn Prediction

## Overview

A Streamlit application for predicting customer churn based on various input features.

## Live Demo

See the live demo [here](https://ann-churn.streamlit.app/).

## Features

- Geography

- Gender

- Age

- Balance

- Credit Score

- Estimated Salary

- Tenure

- Number of Products

- Has Credit Card

- Is Active Member

## Installation

To run the application locally, follow these steps:

1. Clone the repository:

    ```bash

    git clone https://github.com/Himank-Khatri/ANN-Churn-Classification.git

    cd ANN-Churn-Classification

    ```

2. Install the required dependencies:

    ```bash

    pip install -r requirements.txt

    ```

3. Run the Streamlit application:

    ```bash

    streamlit run app.py

    ```