Answer:
The program written in Python is as follows:
<em>See Explanation section for line by line explanation</em>
for n in range(100,1000):
isum = 0
for d in range(1,n):
if n%d == 0:
isum += d
if isum == n * 2:
print(n)
Explanation:
The program only considers 3 digit numbers. hence the range of n is from 100 to 999
for n in range(100,1000):
This line initializes sum to 0
isum = 0
This line is an iteration that stands as the divisor
for d in range(1,n):
This line checks if a number, d can evenly divide n
if n%d == 0:
If yes, the sum is updated
isum += d
This line checks if the current number n is a double-perfect number
if isum == n * 2:
If yes, n is printed
print(n)
<em>When the program is run, the displayed output is 120 and 672</em>
Answer:
The answer is "ifconfig".
Explanation:
The ifconfig. me is indeed a website that shows basic network packets, like IP address, hostname, user agent string. It provides a simple interface that may be queried with the assistance of the command prompt to obtain the required information. The whole function provides the essential information about a certain program's interface.
Answer:
Offer second chances/clean slates.
Be resourceful.
Make learning active.
Be an advocate.
Pursue lifelong learning.
Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
<em>Hope this helps!</em>
I can help you out ! What do you need to know bud ?
