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customer-attrition-analysis

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Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.

  • Updated Aug 16, 2025
  • HTML

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

  • Updated Feb 4, 2020
  • Jupyter Notebook

📊 Predict customer churn using a robust system built with Django and MongoDB, delivering real-time insights with 87% accuracy on 500K+ records.

  • Updated Feb 28, 2026
  • C#

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