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Bank-Customer-Churn-Dataset EDA Using Python

About the Dataset: This Dataset contains the information about the customers(10000+ customers) that have an account in the bank, their credit scores, the country they belong to, their gender, age, their tenure, their current balance deposited in the bank, products/policies/Term deposits that they have enrolled for in the bank, whether they have a credit card or not, whether they have been an active member or not, what’s their estimated salary, and finally the most important column that is whether they’ll be churned out of the bank or not.

What are the libraries I have used : Pandas Numpy Seaborn Matplotlib

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this repository contains an Exploratory Data Analysis Project done using the inbuilt python libraries

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