Code for case study - Customer Churn with Keras/TensorFlow and H2O
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![An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2022/cs-854/1/fig-1-full.png "An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry [PeerJ]")
An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry [PeerJ]
Mathematics | Free Full-Text | Towards Explainable Machine Learning for Bank Churn Prediction Using Data Balancing and Ensemble-Based Methods
Telecom Churn Analysis
GitHub - nammnjoshii/Machine-Learning-Model-to-Predict-Customer-Churn --Orange-Telecom-Dataset: The challenging industry dynamics in telecom industry bring us to discuss the top priority of any telecom provider which is to manage their customer base and ...
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Telecom Customer Churn Prediction Models
