odeyiany2 / churn_prediction

Churn Prediction App

This is a Streamlit web application for predicting churn in a telecom dataset. The app uses a machine learning model trained on the dataset to predict whether a customer is likely to churn or not based on various features.

Table of Contents

• Demo
• Features
• Installation
• Usage
• Deployment
• Dependencies
• Contributing
• License

Demo

You can access the live demo of the app here.

Features

• User-Friendly Interface: Simple and intuitive UI for users to input customer information.
• Churn Prediction: Predicts whether a customer is likely to churn or not.
• Interactive Sliders and Dropdowns: Allows users to interactively input feature values.

Installation

To run this app locally, follow these steps:

1. Clone the repository: git clone cd churn-prediction-app
2. Install dependencies: pip install -r requirements.txt
3. Run the app: streamlit run app.py

The app should open in your default web browser.

Usage

1. Enter customer information using the dropdowns and sliders.
2. Click the "Predict" button.
3. View the predicted churn status.

Deployment

This app is deployed using Streamlit. To deploy it yourself, follow the instructions in the Deployment section of the README.

Dependencies

• streamlit==0.90.0
• pandas==1.3.3
• joblib==1.1.0

Contributing

If you want to contribute to this project, feel free to fork the repository and submit a pull request. Please follow the contribution guidelines.