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# Predicting Telco Customer Churn using IBM dataset
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This project applies machine learning techniques to predict customer churn using a dataset containing customer behavior and subscription details. The aim is to identify customers likely to leave a service and gain insights through model interpretability using SHAP values.
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- Scikit-learn
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- SHAP
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> **Note:** The file data.csv is the dataset got from Kaggle [telco-customer-churn](https://www.kaggle.com/datasets/blastchar/telco-customer-churn)
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---
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title: PredictingCustomerChurn
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sdk: gradio
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emoji: 🚀
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colorFrom: red
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short_description: A model for predicting telecom churn
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---
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# Predicting Telco Customer Churn using IBM dataset
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This project applies machine learning techniques to predict customer churn using a dataset containing customer behavior and subscription details. The aim is to identify customers likely to leave a service and gain insights through model interpretability using SHAP values.
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- Scikit-learn
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- SHAP
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> **Note:** The file data.csv is the dataset got from Kaggle [telco-customer-churn](https://www.kaggle.com/datasets/blastchar/telco-customer-churn)
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