Solution :
x = float_(input())
y = float_(input())
z = float_(input())
res1 = x**z
res2 = x**(y**z)
res3 = abs(x-y)
res4 = (x**z)**0.5
print('{:.2f} {:.2f} {:.2f} {:.2f}'.format(res1,res2,res3,res4))
Output is :
5.0
1.5
3.2
172.47 361.66 3.50 13.13
Answer:
D) Unsupervised Data mining
Explanation:
Unsupervised data mining also refered to as undirected data mining reveals hidden patterns in unlabeled data. In this method, there are no output variables to predict. The aim of an unsupervised data mining technique is to uncover patterns in data based on the relationship between the data points and each other
Answer:
Im not sure why but maybe you can find a way to contact the people who own it and see if they know because that hasn't happened to me. How many questions have you asked
Explanation:
Answer: float
Explanation:
This is asking what would the remainder be of 5/2. I am not totally sure what you are asking but float is used with remainders because it could have a decimal like 3.33 that would throw an error for anything other than float.
