Pegah-Ardehkhani/Customer-Churn-Prediction-and-Analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
This project helps businesses understand why their customers leave and predict who might churn next. You provide your customer data, including details about their services and demographics, and it generates insights into churn patterns and identifies customers at high risk of leaving. This is ideal for marketing managers, customer success teams, or business strategists aiming to improve customer retention.
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Use this if you need to analyze your customer data to uncover trends related to churn and proactively identify customers who are likely to cancel their services.
Not ideal if you're looking for an out-of-the-box, plug-and-play solution without any technical involvement, as this provides a foundational analysis rather than a fully integrated system.
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13
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6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 05, 2023
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