Churn-Modeling-Classification

This repository contains a Churn Classification model built using TensorFlow and an Artificial Neural Network (ANN) to predict customer churn. A Streamlit interface allows users to interact with the model and visualize predictions.

Features

• Deep Learning Model: Uses an Artificial Neural Network (ANN) built with TensorFlow/Keras.
• Interactive UI: Powered by Streamlit for real-time predictions.
• Data Preprocessing: Automates feature scaling and encoding.

Installation

1. Clone the Repository

   git clone https://github.com/saadtariq-ds/Churn-Modeling-Classification.git
   

2. Create and Activate Virtual Environment (Recommended)

   python -m venv venv
   venv\Scripts\activate
   

3. Install Dependencies

   pip install -r requirements.txt
   

Running Streamlit App

After installing the dependencies, launch the Streamlit app:

streamlit run app.py