coment on this if your user starts with dida

Answer:

import the GaussianNB class from the scikit-learn naive bayes module using the import statement;

from sklearn.naivebayes import GaussianNB

create the classifier,

clf = GaussianNB()

Then train or fit a section of the dataset (the training set) with the classifier, then predict the label of the test section of the dataset with the provided query "q".

trained = clf.fit( train_features, train_label)

predict = clf.predict(q)

Explanation:

The scikit-learn is a machine learning package in python used to create machine models from datasets. It has several classifiers and regressions algorithms.

The naive baye algorithm is a machine learning class in python used in supervised machine learning to create models used to predict a label given a set of features using a classifier.

Answer:

United States Department of Homeland Security

The National Cyber Security Division (NCSD) is a division of the Office of Cyber Security & Communications, within the United States Department of Homeland Security's Cybersecurity and Infrastructure Security Agency.

Give me brainliest

Answer: Extra info.

It  belongs to an official government organization in the United States

Explanation:

Cyber security is the practice of defending computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks. It's also known as information technology security or electronic information security....