Leveraging Kaggle data, it aims to aid telecom firms in preemptive churn management for improved customer retention and business performance. This project applies various ML models with XGBoost, trained with Train-Test Split, attains 96.58% accuracy as the best accuracy score.
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Leveraging Kaggle data, it aims to aid telecom firms in preemptive churn management for improved customer retention and business performance. This project applies various ML models with XGBoost, trained with Train-Test Split, attains 96.58% accuracy as the best accuracy score.
MarcellinusRyan20/TelecomChurnPrediction
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Leveraging Kaggle data, it aims to aid telecom firms in preemptive churn management for improved customer retention and business performance. This project applies various ML models with XGBoost, trained with Train-Test Split, attains 96.58% accuracy as the best accuracy score.
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