Telecom Churn Case Study
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Updated
Jan 24, 2021 - Jupyter Notebook
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telecomchurn
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To predict if a customer will churn, given the ~170 columns containing customer behavior, usage patterns, payment patterns, and other features that might be relevant. Your target variable is "churn_probability"
pca logistic-regression gradient-boosting-classifier xgboost-classifier randomforestclassifier telecomchurn
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Sep 10, 2024 - Jupyter Notebook
To reduce customer churn, telecom companies need to predict which customers are at high risk of churn.
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Mar 7, 2021 - Jupyter Notebook
python open-source machine-learning machine-learning-algorithms datascience churn-prediction artificial-intelligence-algorithms telecomchurn
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Updated
Mar 9, 2023 - Jupyter Notebook
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