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Project4

Telecom Customer Churn Prediction

Why customers churn? How can you improve customer retention?

About Dataset

This dataset contains 2 tables, in CSV format:

The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022. Each record represents one customer, and contains details about their demographics, location, tenure, subscription services, status for the quarter (joined, stayed, or churned), and more! The Zip Code Population table contains complimentary information on the estimated populations for the California zip codes in the Customer Churn table Collection Methodology The public dataset is completely available on the Maven Analytics website platform where it stores and consolidates all available datasets for analysis in the Data Playground. The specific telecom customer churn dataset at hand can be obtained in this link below: https://www.mavenanalytics.io/blog/maven-churn-challengeAbout Dataset

Collection Methodology

The public dataset is completely available on the Maven Analytics website platform where it stores and consolidates all available datasets for analysis in the Data Playground. The specific telecom customer churn dataset at hand can be obtained in this link below: https://www.mavenanalytics.io/blog/maven-churn-challenge

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