The customer churn prediction model estimates the like lihood of a customer leaving a service based on factors like usage patterns, customer demographics, and other relevant data. It uses Logistic Regression (or other models like Random Forest) to analyze historical data and predict churn for new customers.
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The customer churn prediction model estimates the likelihood of a customer leaving a service based on factors like usage patterns, customer demographics, and other relevant data. It uses Logistic Regression (or other models like Random Forest or XGBoost) to analyze historical data and predict churn for new customers.
AliElBatrawyAli1/Customer-Churn-Model
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The customer churn prediction model estimates the likelihood of a customer leaving a service based on factors like usage patterns, customer demographics, and other relevant data. It uses Logistic Regression (or other models like Random Forest or XGBoost) to analyze historical data and predict churn for new customers.
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