customer churn prediction prevention in telecom industry using machine learning and survival analysis

Last update: Nov 20, 2021

Overview

Telco Customer Churn Prediction - Plotly Dash Application

Description

This dash application allows you to predict telco customer churn using machine learninga and survival analysis. Developed with Python and the all codes published on GitHub. Feel free to review and download the repository. You can:

predict customer churn based on machine learning using majority voting algorithme that combines more than 9 ML models including neural nets and svm XGboost ...
review data analysis
dataset exploration
predict time to Churn and survival times using survival analysis
predict partial effct on outcome of diffrent co-varients and features.

Dataset: https://github.com/IBM/telco-customer-churn-on-icp4d/blob/master/data/Telco-Customer-Churn.csv

Installation and Usage

Install all dependencies listed in requirements.txt - all packages are pip-installable.
Run app.py to launch a local Dash server to host the Dash app. A link will appear in your console; click this to use the Dash app.

Owner

Benaissa Mohamed Fayçal

GitHub Repository

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