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:

1. RowNumber : int; unique row identifier
2. CustomerID : int ; unique customer identifier
3. Surname : string
4. CreditScore : int
5. Geography : int
6. Gender : String
7. Age : int
8. Tenure : int
9. Balance : int (available balance in the account)
10. NumOfProducts : int (the number of products the cust uses like credit card, chequebook, etc.)
11. HasCrCard : int (0: does not have bank credit card | 1: has bank credit card)
12. IsActiveMember : int (1: the customer uses bank services atleast once a month | 0: otherwise)
13. EstimatedSalary : float
14. 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