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neural_networks_with_keras

Assignment 3 for machine learning course

UniversalBank.csv

X are:

  • ge = Customers age
  • xperience = Numbers of years of professional experience
  • ncome = Annual income in units of 1000 euros
  • mily size = Size of customers family
  • Avg = Average spending on credit cards per month (in units if 1000 e)
  • Education = Undergraduate (1), Gaduate (2), Advanced/professional (3)
  • Mortgage = Value of house motgage in units of 1000 e
  • Securities Account = 1 if customer has this type of account with the bank (else 0)
  • CD Account = 1 if customer has this type of account with the bank (else 0)
  • Online Banking = 1 if customer uses Internet banking facilities (else 0)
  • Credit Card = 1 if customer has credit card issued by the bank (else 0)

predict Y is: Personal Loan = 1 if the customer has responded positively to the banks e-mail drive (0 else)

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Assignment 3 for machine learning course

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