Answer:
Explanation:
The following code is written in Python. It prompts the user for the name and age, saves them to their own variables. Then it creates and calculates the dogAge variable. Finally, it combines all of this information and prints out the statement.
name = input("Enter your name: ")
age = input("Enter your age: ")
dogAge = int(age) * 7
print("Your name is", name, "and in dog years you are", dogAge, "years old.")
Yes, Using programming libraries is one way of incorporating existing code into new programs is a true statement.
<h3>What function do libraries provide in programming?</h3>
Programming libraries are helpful resources that can speed up the work of a web developer. They offer prewritten, reuseable portions of code so that programmers can easily and quickly create apps. Consider building a program that enables users to enroll in and pay for courses.
Therefore, Using a code library often saves developers from having to create everything from scratch. It can take less time to develop projects and have more reliable software if the catalog of programming resources is kept up well.
Learn more about libraries from
brainly.com/question/17960151
#SPJ1
Answer:
Kindly check Explanation.
Explanation:
Machine Learning refers to a concept of teaching or empowering systems with the ability to learn without explicit programming.
Supervised machine learning refers to a Machine learning concept whereby the system is provided with both features and label or target data to learn from. The target or label refers to the actual prediction which is provided alongside the learning features. This means that the output, target or label of the features used in training is provided to the system. this is where the word supervised comes in, the target or label provided during training or teaching the system ensures that the system can evaluate the correctness of what is she's being taught. The actual prediction provided ensures that the predictions made by the system can be monitored and accuracy evaluated.
Hence the main difference between supervised and unsupervised machine learning is the fact that one is provided with label or target data( supervised learning) and unsupervised learning isn't provided with target data, hence, it finds pattern in the data on it's own.
A to B mapping or input to output refers to the feature to target mapping.
Where A or input represents the feature parameters and B or output means the target or label parameter.
Answer: 33
7 times 4 is 28 add the left over 5 makes 33 people
