Answer:
i think its 5 then current
Explanation:
Answer:
The answer is "False".
Explanation:
In the given question, the answer is false because it stands for " vulnerability", that is an application hole, that is used to design the implementation of the errors.
- It enables a hacker to damage the application's investors.
- The device owners, application users as well as other groups dependent on this software, which include stakeholders, that's why we don't use this application in the cybersecurity
Idek this keeps happening to me too :/
Answer: 3) It maximizes the within class variance relative to the variance between classes
Explanation:
Linear discriminant analysis (LDA), also referred to as the normal discriminant analysis (NDA), is a method that is used in machine learning, statistics, and pattern recognition, in order to get a linear combination of characteristics that can be used to separates two classes of events or more.
Of the options, the correct thing about linear discriminant analysis is that it maximizes the within class variance relative to the variance between classes.
Answer:
def remove_all(text, char):
return ''.join(x for x in text if x not in char )
print(remove_all("Summer is here!", 'e'))
Explanation:
- join() method in Python takes all the element in the string and joins them. However, inside the <em>join</em> method, we <u>excluded</u> the elements that equals to <em>char</em> in the <em>text</em>