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%