Telecom Customer Churn Prediction

End to end ML project for telecom customer churn prediction

Table of Content

• Demo
• Overview
• Motivation
• Installation
• Directory Tree
• Technology Used
• Future Scope

Demo

Overview

This is a Flask based app which predicts telecom customer will churn or not (whether the customer will continue with the existing telecom company or not).

Motivation

Being from a Math and stats background ,I started to learn Machine Learning algorithms to get most out of it. I came to know mathematics behind all supervised models. Finally it is important to work on application (real world application) to actually make a difference.

Installation

The Code is written in Python 3.7.10. If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository:

pip install -r requirements.txt

Directory Tree

├── templates

│   ├── churn.html

├── Procfile

├── README.md

├── churn.py

├── customer churn.ipynb

├── telco_model.pkl

├── requirements.txt

Technology Used

Future Scope

• Use multiple Algorithms
• Optimize Flask churn.py
• Front-End