Answer:
Classification
Explanation:
Building a machine learning solution that can predict the success of a student in completing a college degree is a binary problem. There are two possible answer: success or not success.
This brings us to a supervised machine learning problem, where one trains the technique with labeled data whether it is a success or not. Since the target variable is discrete (not continuous), classification technique has to be used.
Answer:
The correct loop is as follows:
for year in range(starting_tuitionYear, ending_tuitionYear, increment):
tuition = startingTuition + rate * startingTuition
startingTuition = tuition
print('Tuition for the year of ' + str(year)+ ' is ' + str(tuition));
Explanation:
Required
The correction to the attached program
Some variables are not needed; so, I've removed the redundant variables.
The main error in the program is in the loop;
After the tuition for each year has been calculated, the startTuition of the next year must be set to the current tuition
<em>See attachment for complete program</em>
it mean for some people that have technology like a computer and there are some who don't have access to technology like phones, and tv's