ChurnAnalysis
Customer Churn Analysis Experiments using Classical ML algorithms and Deep Neural Network
Install / Use
/learn @denopas/ChurnAnalysisREADME
ChurnAnalysis
Customer Churn Analysis experiments are employed using Classical ML (Machine Learning) algorithms and Deep Neural Network (DNN). A dataset from telecom is used for experimental studies.
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Dataset is created in telecom domain.
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Classical Machine Learning Models:
- Logistic Regression
- Naive Bayes
- Decision Tree (CART)
- K-NN
- SVM
- LDA
- AdaBoostClassifier
- BaggingClassifier
- RandomForestClassifier
- Deep Neural Network model is constructed based on Keras.
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Security Score
Audited on Jul 10, 2023
