Data SciencePublic repo

Bank Customer Attrition EDA

An exploratory data analysis project aimed at identifying bank customers at risk of attrition (those likely to terminate their service contracts). By understanding the underlying churn factors, the analysis enables the bank to adopt targeted strategies to reduce attrition and retain customers, using Python's data-science stack for cleaning, visualization, and statistical exploration.

Technologies

PythonPandasNumPyMatplotlibSeaborn

Links

Code

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