Customer Churn Classification

This repository contains a Customer Churn Classification project. The aim is to predict whether a customer is likely to churn (i.e., stop doing business with a company) based on their historical data and behavior.

Introduction

Customer churn is a critical metric for businesses to monitor as it directly impacts revenue. This project uses Neural network to classify customers into "churn" and "non-churn" categories based on given datasets.

How to Use This Repository

1. Clone the repository:

   git clone https://github.com/EniolaAdemola/customer-churn-classification.git
   

2. Navigate to the project directory:

   cd customer-churn-classification

3. Install the required dependencies:

(Recommended: make sure to create your virtual environment, activate it and run the command below)

pip install -r requirements.txt

Running the Application

Run the following command to start the Streamlit app:

streamlit run app.py

This will launch the web interface for classifying customer churn.