https://github.com/pegah-ardehkhani/customer-churn-prediction-and-analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
https://github.com/pegah-ardehkhani/customer-churn-prediction-and-analysis
accuracy churn-prediction classification classification-algorithm cross-validation customer-churn customer-churn-analysis customer-churn-prediction data-science feature-engineering feature-importance gridsearchcv imbalanced-data machine-learning machine-learning-algorithms plotly python roc-auc sklearn telco
Last synced: about 2 months ago
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Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
- Host: GitHub
- URL: https://github.com/pegah-ardehkhani/customer-churn-prediction-and-analysis
- Owner: Pegah-Ardehkhani
- License: mit
- Created: 2022-06-14T10:01:32.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-01-05T17:04:08.000Z (over 2 years ago)
- Last Synced: 2023-03-04T22:28:37.857Z (over 2 years ago)
- Topics: accuracy, churn-prediction, classification, classification-algorithm, cross-validation, customer-churn, customer-churn-analysis, customer-churn-prediction, data-science, feature-engineering, feature-importance, gridsearchcv, imbalanced-data, machine-learning, machine-learning-algorithms, plotly, python, roc-auc, sklearn, telco
- Language: Jupyter Notebook
- Homepage:
- Size: 1.99 MB
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0