1.
first = float(input("First Entry = "))
second = float(input("Second Entry = "))
def func(num1, num2):
return max(num1, num2)
print(func(first, second))
2.
first = input("First Entry = ")
second = input("Second Entry = ")
def func(word1, word2):
return sorted([word1,word2])[0]
print(func(first, second))
I hope this helps!
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:
The purpose of this act was to reduce workplace hazards and implement more safety and health programs for both employers and their employees.
