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The Customer Churn Analysis project uses Python to perform Exploratory Data Analysis (EDA) on customer churn data, uncovering patterns and insights to help businesses improve customer retention strategies and reduce churn.

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Customer Churn Analysis Using Python

This project involves performing Exploratory Data Analysis (EDA) on customer churn data using Python. The analysis aims to uncover patterns and insights that can help understand the factors contributing to customer churn. By leveraging various Python libraries such as Pandas, Matplotlib, and Seaborn, the project visualizes key metrics and trends, providing a comprehensive overview of customer behavior and churn rates. This EDA project is essential for businesses looking to improve customer retention strategies and reduce churn.

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The Customer Churn Analysis project uses Python to perform Exploratory Data Analysis (EDA) on customer churn data, uncovering patterns and insights to help businesses improve customer retention strategies and reduce churn.

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