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
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telecomchurn
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Telecom Churn Case Study
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Jan 24, 2021 - Jupyter Notebook
Exploratory Data Analysis on Telecom Customer Churn — uncovering key drivers like contract type, payment method, and tenure to support retention strategies.
python data-science numpy eda pandas data-visualization seaborn data-analysis matplotlib churn-analysis telecom-churn-prediction telecomchurn
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Mar 10, 2026 - Jupyter Notebook
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
python open-source machine-learning machine-learning-algorithms datascience churn-prediction artificial-intelligence-algorithms telecomchurn
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Mar 9, 2023 - Jupyter Notebook
Predict churn and derive actionable strategies to retain users in a highly competitive telecom environment.
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May 3, 2025 - Jupyter Notebook
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