Bank Customer Prediction using Artificial Neural Network
Aim
Designed a Deep Learning model using ANNs that takes in various relevant features such as credit score, salary, location, tenure etc and determines whether the customer will stay in the bank or not.
Benefits :
- Reliability and credibility of customer while issuing loans
- Update bank policies and schemes
Packages Used :
Numpy, Pandas, TensorFlow
Dataset Description
Churn_Modelling.csv
Fields
- CustomerId
- Surname
- CreditScore
- Geography
- Gender
- Age
- Tenure
- Balance
- NumOfProducts
- HasCrCard
- IsActiveMember
- EstimatedSalary
- Exited (To be predicted)