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Customer_churn_predict

Introduction

  • Link dataset: Link Kaggle

  • Context : The Telco customer churn data contains information about a fictional telco company that provided home phone and Internet services to 7043 customers in California in Q3. It indicates which customers have left, stayed, or signed up for their service.

  • Objective: Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs

Data Preprocessing

  • Check and remove null values
  • Check outlier
  • Clustering customer churn reveals behavior patterns and insights, aiding in the development of churn prevention strategies.
  • Prepara data for machine learning

Result

Model: XGBOOSTING

F1 Score Accuracy AUC
83% 83% 83%