Hands-On Machine Learning for Cybersecurity

Loading the dataset

We use a dataset from the 2017 Black Hat conference. We will be doing some basic statistical testing to better understand the data:

data = pd.read_csv("https://s3-us-west-1.amazonaws.com/blackhat-us-2017/creditcard.csv")
data.head()

The preceding code provides the data that has 31 columns in total.

We check for the target classes with a Histogram, where the x axis depicts the Class and the y axis depicts the Frequency, as shown in the following code:

count_classes = pd.value_counts(data['Class'], sort = True).sort_index()count_classes.plot(kind = 'bar')plt.title("Fraud class histogram")plt.xlabel("Class")plt.ylabel("Frequency")

Here is the output for the preceding code:

This histogram clearly shows that ...