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The Customer Churn Prediction project uses data science and machine learning to identify at-risk customers. It involves data collection, exploration, feature engineering, model building, and deployment to enable proactive retention strategies.

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The Customer Churn Prediction project uses data science and machine learning to identify at-risk customers. It involves data collection, exploration, feature engineering, model building, and deployment to enable proactive retention strategies.

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  • Jupyter Notebook 99.8%
  • Python 0.2%