November 2019
Intermediate to advanced
346 pages
9h 36m
English
In the following steps, we utilize scikit-learn's StandardScaler method to standardize our data:
import pandas as pddata = pd.read_csv("file_pe_headers.csv", sep=",")X = data.drop(["Name", "Malware"], axis=1).to_numpy()
Dataset X looks as follows:

from sklearn.preprocessing import StandardScalerX_standardized = StandardScaler().fit_transform(X)
The standardized dataset looks like the following:
