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Predicts customer churn using Logistic Regression
MATLAB
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README.md
churn_test.csv
churn_train.csv
costFunctionReg.m
index.m
octave-workspace
predict.m
sigmoid.m

README.md

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)

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