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Telecom Customer Churn Prediction Using Machine Learning!

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Telecom Customer Churn Prediction Using Machine Learning!

The Telco Customer Churn Dataset is commonly used for predicting customer retention in the telecommunications industry. Here’s a breakdown of the dataset and its significance:

Dataset Overview:

Rows: Each row represents a unique customer.

Columns: Contain information about customer demographics, account details, services subscribed to, and whether the customer has churned (left the service).

Key Features:

Demographic Information: gender, SeniorCitizen, Partner, Dependents.

Service Details: PhoneService, MultipleLines, InternetService, OnlineSecurity, TechSupport, etc.

Account Information: tenure (how long the customer has been with the company), Contract, MonthlyCharges, TotalCharges.

Target Variable: Churn – whether the customer left the company or stayed (Yes/No).

Objective:

Main goal is to predict customer churn, which refers to whether a customer will leave the company based on their historical data.