Bank-Customer-Churn-Modeling

Given a Bank customer, a classifier was built which can determine whether they will leave in the next 6 months or not. Link to the Google Collab run code:

https://colab.research.google.com/drive/1zyseJqR02NptgN_pbTqAKRyCLyo7S5Q-?usp=sharing#scrollTo=FgqCkx88IH49

Loading Dataset

The Dataset is from Kaggle:

https://www.kaggle.com/barelydedicated/bank-customer-churn-modeling

Given below are columns information:

1. RowNumber
2. CustomerId
3. Surname
4. CreditScore
5. Geography
6. Gender
7. Age
8. Tenure
9. Balance
10. NumOfProductsHow many accounts, bank account affiliated products the person has
11. HasCrCard
12. IsActiveMemberSubjective, but for the concept
13. EstimatedSalary
14. Exited Did they leave the bank after all?

Importing Libraries

1. numpy
2. matplotlib
3. seaborn
4. scikit-learn
5. imblearn
6. pandas

Program flow

Framework