customer-churn-classification-model 3.0.3

classification model package from Train In Data.

CUSTOMER CHURN PREDICTION

A machine learning program that predicts customer churn (yes(1) or no(0)) from a telecos data company.This program uses extreme gradient boosting technique in predicting outcomes.

Data set and its description

Data	Description
Customer ID	Customer unique identifier
Gender	Whether the customer is a male or a female
Senior Citizen	Whether the customer is a senior citizen or not (1, 0)
Partner	Whether the customer has a partner or not (Yes, No)
Dependents	Whether the customer has dependents or not (Yes, No)
Tenure	Number of months the customer has stayed with the company
Phone service	Whether the customer has a phone service or not (Yes, No)
Multiple lines	Whether the customer has multiple lines or not (Yes, No, No phone service)
Internet Service	Customer’s internet service provider (DSL, Fiber optic, No)
Online security	Whether the customer has online security or not (Yes, No, No internet service)

Dependecies and packgages

*numpy>=1.20.0,<1.21.0 *xgboost *pandas>=1.3.5,<1.4.0 *pydantic>=1.8.1,<1.9.0 *scikit-learn>=1.0.2,<1.1.0 *strictyaml>=1.3.2,<1.4.0 *ruamel.yaml==0.16.12 *feature-engine>=1.0.2,<1.1.0 *joblib>=1.0.1,<1.1.0

Source code link

Source code link: Github link