Answer:
The Python code with the function is given below. Testing and output gives the results of certain chosen parameters for the program
Explanation:
def first_last(seq):
if(len(seq) == 0):
return ()
elif(len(seq) == 1):
return (seq[0],)
else:
return (seq[0], seq[len(seq)-1])
#Testing
print(first_last([]))
print(first_last([1]))
print(first_last([1,2,3,4,5]))
# Output
( )
( 1 , )
( 1 , 5 )
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
Answer:
c.B2b digital transaction
Explanation:
yan lang po sana makatulong
Answer:
1.I have learned that my teacher is a good teacher
2.I have realized that my name is beautiful
Explanation:
thats right? hope it's help you heart me and please give brainlesst
