Skip to content

sbharadwajj/ChurnPrediction

Repository files navigation

ChurnPrediction

Customer relationship marketing is important since it provides a long standing relationship between the customer and the organization. Churn obstructs the growth of profitable customers and it is the biggest challenge to sustain a telecommunication network.This model is a logistic regression model which is a non-linear classifier with sigmoid as its activation function. The accuracy of the model is heightened by regularizing it with the regularizing parameter set to 0.01 and this gives an accuracy of 87.52% on the dataset

The dataset for this which contains about four thousand examples split between testing and training was obtained from [here] (https://www.kaggle.com/udemeudofia/dsn-telecom-churn-prediction)

About

Predicts customer churn using Logistic Regression

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages