Let's see how to use denoising autoencoders to detect fraudulent transactions:
- Create a new Python file, and import the following packages (the full code is in the CreditCardFraud.py file that's already provided to you):
import pandas as pdimport numpy as npimport matplotlib.pyplot as pltfrom sklearn.model_selection import train_test_splitfrom keras.models import Modelfrom keras.layers import Input, Densefrom keras import regularizers
- To make the experiment reproducible, in the sense that it provides the same results with each reproduction, it is necessary to set the seed:
SetSeed = 1
- As already said, we will use the credit card fraud detection dataset (creditcard.csv) that is already provided to you:
CreditCardData ...