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What is Predicting Telecom Customer Churn about?

1) The document describes a predictive modelling project to predict customer churn for a telecom company using logistic regression, KNN, and Naive Bayes models. 2) Exploratory data analysis found some variables like data usage and customer service calls were skewed, and removed correlated variables like monthly charges. 3) The KNN model performed best with a sensitivity of 81% at predicting churn, outperforming logistic regression and Naive Bayes. 4) Key recommendations include improving customer service t

Author

gagan verma

Language

EN