A Python-based project for analyzing customer churn using data visualization and machine learning models to predict churn probability. Employs libraries like Pandas, Scikit-learn, and Matplotlib for data preprocessing, model training, and insightful visualizations.
Last updated Apr 25, 2026
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Jupyter Notebook 97.2%
Python 2.8%
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