sondosaabed/Customer-Churn-Dataset-Analysis
Machine Learning, EDA, Classification tasks, Regression tasks for customer churn
This analysis helps businesses understand why customers stop using their services and how to predict which ones are likely to leave. It takes your existing customer data, including usage patterns and communication frequency, and identifies key factors contributing to churn. The output provides insights into customer behavior and recommends predictive models to help marketing and customer retention teams make better decisions.
No commits in the last 6 months.
Use this if you need to analyze your customer data to understand churn patterns and want to identify the most effective predictive model for customer retention.
Not ideal if you're looking for a deployed, ready-to-integrate software solution rather than an analytical report and model recommendations.
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8
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 11, 2024
Commits (30d)
0
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