Customer Churn Prediction project analyzing telecom data using Python & Power BI. Tasks include data cleaning, one-hot encoding, exploratory analysis, churn insights, and predictive modeling (Logistic Regression & Random Forest with 79% accuracy, AUC 0.86).
Rawan2266/Customer-Churn-Project
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