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What is Customer Churn Prediction with Regression about?

The presentation discusses a project on predicting customer churn using regression models, highlighting the importance of retaining existing customers over acquiring new ones. It details the methodology, including data preprocessing, exploratory analysis, and model optimization, ultimately finding logistic regression to be the most effective model. The project concludes with actionable business recommendations based on key predictors of churn, emphasizing the value of predictive analytics in improving custo

Author

Puja Biswas

Language

EN