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Answer:
local scope which is the entire body of the function/method that it is being used in
Explanation:
The variable numC has a local scope which is the entire body of the function/method that it is being used in, which in this scenario is the passwordMaker method. This is because the variable numC is being used as a parameter variable for that method, meaning that a piece of information is being inputted by when the method is called and saved as the variable numC which is then used by the lines of code inside the method, but cannot be accessed from outside the method thus.
Answer:
Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is
Explanation:
The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."
This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.
Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.
And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters
Your answer is False my fellow samurai
Answer:
The function in Python is as follows:
def greetings(details):
details = details.split(' ')
print('Hello, '+details[0]+'!, I also enjoy '+details[2])
Explanation:
This defines the function
def greetings(details):
This splits the input string by space
details = details.split(' ')
This prints the required output
print('Hello, '+details[0]+'!, I also enjoy '+details[2])
After splitting, the string at index 0 represents the name while the string at index 2 represents the hobby
