Bank-Churn-Modelling

Dataset as per Kaggle (https://www.kaggle.com/shrutimechlearn/churn-modelling)

Results

1. Description of the dataset The following results shows the description of variables throughout the dataset, classified between continuous and categorical variables.

Continuous Variables

Correlation Between Continuous Variables

Churn Rate of Customers

Distribution Age, Balance, Credit Score, EstimatedSalary

Distribution of Age, Balance, CreditScore, EstimatedSalary in terms of Customer Churn

Categorical Variables

Distribution of Gender, Geography, CreditCard, ActiveMember, NumofProducts, Tenure

Gender:

Geography:

CreditCard:

ActiveMember:

NumofProducts:

Tenure:

2. Analysis of the dataset Analysed dataset via modelling

Smote Balancing

Logistics Modelling

Pruned CART