kunal-mallick/churn_prediction

Churn_Prediction

We are proud to introduce our customer churn prediction tool, ccp.io. This tool uses a KNN model at the backend and predicts the probability of a customer staying with the company.

To use this tool, you just need to enter the following data:

• How many voice messages the customer received
• Total number of international minutes
• Total number of international calls
• Total number of day minutes
• Total amount of day charges
• Total number of evening minutes
• Total number of customer calls
• Whether the customer has a voice plan or not
• Whether the customer has an international plan or not

After entering this data, the tool will predict the probability of the customer staying with the company. You can use this information to improve your customer retention strategies and increase your revenue.

Live demo here.

Table of Contents

• General Info
• Technologies Used
• Features
• Screenshots
• Setup
• Usage
• Project Status
• Room for Improvement
• Acknowledgements
• Contact

General Information

• Provide general information about your project here.
• What problem does it (intend to) solve?
• What is the purpose of your project?
• Why did you undertake it?

Technologies Used

• Tech 1 - version 1.0
• Tech 2 - version 2.0
• Tech 3 - version 3.0

Features

List the ready features here:

• Awesome feature 1
• Awesome feature 2
• Awesome feature 3

Screenshots

Setup

What are the project requirements/dependencies? Where are they listed? A requirements.txt or a Pipfile.lock file perhaps? Where is it located?

Proceed to describe how to install / setup one's local environment / get started with the project.

Usage

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write-your-code-here

Project Status

Project is: in progress / complete / no longer being worked on. If you are no longer working on it, provide reasons why.

Room for Improvement

Include areas you believe need improvement / could be improved. Also add TODOs for future development.

Room for improvement:

• Improvement to be done 1
• Improvement to be done 2

To do:

• Feature to be added 1
• Feature to be added 2

Acknowledgements

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• This project was inspired by...
• This project was based on this tutorial.
• Many thanks to...

Contact

Created by @flynerdpl - feel free to contact me!