Introduction
Telecom customer churn prediction is a crucial task for telecommunication companies to retain customers. Python Deep Learning used to build a model that predict customer churn accurately. By analyzing customer data the model can identify patterns that indicate potential churn. With the help of Artificial Neural Networks, the model can be trained to predict customer churn and help telecom companies take proactive measures to retain their customers.
Sample Data
Confusion Matrix
GitHub