This repository contains two projects that I undertook using deep learning alogorithms.
ANN (Bank customer churn modelling): This project undertook the publicly available customer churn data to predict the expected churn rates in the future.
Snapshot of the data:
Data Dictionary:
- RowNumber : int; unique row identifier
- CustomerID : int ; unique customer identifier
- Surname : string
- CreditScore : int
- Geography : int
- Gender : String
- Age : int
- Tenure : int
- Balance : int (available balance in the account)
- NumOfProducts : int (the number of products the cust uses like credit card, chequebook, etc.)
- HasCrCard : int (0: does not have bank credit card | 1: has bank credit card)
- IsActiveMember : int (1: the customer uses bank services atleast once a month | 0: otherwise)
- EstimatedSalary : float
- Exited (dependent/predicted value): int (1: left the bank | 0: otherwise)
Convulutional Neural Networks: This model ustilised the CNN model to accurately categorise cats and dogs