The best answer to this question should be (A)
Cloud Computing.
In general, cloud computing is the term used for the delivery
of hosted services over the internet. We can also simply put cloud computing as
the delivery of computing services like storage, servers, databases, software
and more over the internet.
<span>They wrote live updates to a blog, so D. The blog was called "Eye of the Storm." It was written as a series of personal musings and photographs of places where the storm hit- first hand accounts of the disaster. They received a journalism award for it.</span>
Answer:
b
Explanation:
First, we need to initialize the classifier.
Then, we are required to train the classifier.
The next step is to predict the target.
And finally, we need to evaluate the classifier model.
You will find different algorithms for solving the classification problem. Some of them are like decision tree classification etc.
However, you need to know how these classifier works. And its explained before:
You need to initialize the classifier at first.
All kinds of classifiers in the scikit-learn make use of the method fit(x,y) for fitting the model or the training for the given training set in level y.
The predict(x) returns the y which is the predicted label.And this is prediction.
For evaluating the classifier model- the score(x,y) gives back the certain score for a mentioned test data x as well as the test label y.
The programmer solves the problems of a user by expressing an algorithm in a programming language to make a program that can run on a computer.
Solution :
class Employee:
#Define the
#constructor.
def __
__(
, ID_number,
, email):
#Set the values of
#the data members of the class.
= name
_number = ID_number
= salary
self.email_address = email
#Define the function
#make_employee_dict().
def make_employee_dict(list_names, list_ID, list_salary, list_email):
#Define the dictionary
#to store the results.
employee_dict = {}
#Store the length
#of the list.
list_len = len(list_ID)
#Run the loop to
#traverse the list.
for i in range(list_len):
#Access the lists to
#get the required details.
name = list_names[i]
id_num = list_ID[i]
salary = list_salary[i]
email = list_email[i]
#Define the employee
#object and store
#it in the dictionary.
employee_dict[id_num] = Employee(name, id_num, salary, email)
#Return the
#resultant dictionary.
return employee_dict