├── README.md ├── Scripts ├── Customer churn prediction.ipynb ├── data.csv └── info ├── data.csv ├── icons ├── git.svg ├── github.png ├── gmail.svg ├── iconmonstr-linkedin-5.svg ├── iconmonstr-twitter-4.svg ├── iconmonstr-twitter-5.svg ├── icons8-tableau-software (1).svg ├── icons8-tableau-software.svg ├── info ├── linkedin.svg └── tableau.svg └── output ├── Accuracy score comparison.PNG ├── Adaboost.PNG ├── Churn Distribution.png ├── Contract distribution.png ├── Decision trees.PNG ├── Gradient boost.PNG ├── KNN.PNG ├── LR.PNG ├── Model evaluation.PNG ├── Naive Bayes.PNG ├── PhoneService.PNG ├── ROC AUC comparison.PNG ├── Random Forest.PNG ├── Voting Classifier.PNG ├── billing.PNG ├── carges distribution.PNG ├── confusion matrix.PNG ├── confusion_matrix_models.PNG ├── correlation with churn.PNG ├── customer churn.jpeg ├── dependents.PNG ├── distributionWRTGender.PNG ├── info ├── internet services.PNG ├── onlineSecurity.PNG ├── partners.PNG ├── payment ethods with respectto churn.PNG ├── payment methods.png ├── seniorCitzen.PNG ├── techSupport.PNG ├── tenure and churn.PNG └── total charges.PNG /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Pradnya1208/Telecom-Customer-Churn-prediction/HEAD/README.md -------------------------------------------------------------------------------- /Scripts/Customer churn prediction.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Pradnya1208/Telecom-Customer-Churn-prediction/HEAD/Scripts/Customer churn prediction.ipynb -------------------------------------------------------------------------------- /Scripts/data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Pradnya1208/Telecom-Customer-Churn-prediction/HEAD/Scripts/data.csv -------------------------------------------------------------------------------- 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