True False $($Each question is $5$ points$).$

$1.$ True or False? Classification algorithms work by examining an input $$training set$$ of data to learn how the data values combine to create a result. True

$2.$ True or False? Within a machine$-$learning program, the code will specify, for example, that $70\%$ of the

data will be training data and $30\%$ will be used for testing.

$3.$ True or False? Classification techniques are optimal for binary classifications, which use two target

classes, such as a tumor being malignant or benign, or multiclass classifications, which have multiple

target classes, such as a pet being a dog, cat, or horse.

$4.$ True or False? To create the training and test data sets, the data must contain not only the predictor

data values, but also the correct class assignments for that data.

$5.$ True or False? After you test a model, you can examine the resulting mistake matrix to determine

which classification assignments the model got wrong.

$6.$ True or False? The logarithmic regression classifier, which is best suited for binary classification,

assigns data to classes based upon the function $($called a logit$)$ that determines the probability that the

data belongs to the class.

$7.$ True or False? A decision tree is a graph$-$based data structure that specifies a collection of decision

points. By following a path through the decision points, a decision$-$tree classifier assigns data to specific

classes.

$8.$ True or False? When you $$overfit$$ the model, the model may start to treat noise or errant data as valid

training data.

$9.$ True or False? The Na$$ve Bayes classification algorithm is called $$na$$ve$$ in that it treats the different

data$-$set attributes as independent and calculates a probability for each.

$10.$ True or False? Regardless of the type of data$-$analytic project you are considering, the steps you will

perform to get started will be similar.

$11.$ True or False? Data$-$analytic projects should begin with the question: $$What do we want to show?$$

$12.$ True or False? Today, a cost$-$effective and fast way to get up and running with a scalable data store is to

leverage cloud$-$based managed services, in a pay$-$as$-$you$-$go environment.

$13.$ True or False? A random$-$forest classification model creates many different decision trees for a data

set and then, based on each tree$$s prediction, the trees essentially vote to select the tree that produces

the best result.

$14.$ True or False? The support vector machine $($SVM$),$ often called SVC $($support vector classifier$),$

classifies data by separating values with a box called a hypersquare.

$15.$ True or False? In data classification, the dependent variable is the class to which the algorithm will

assign the data.

$16.$ True or False? In classification, the accuracy score is the sum of the correct category assignments.

$17.$ Neural networks are at the heart of machine learning and are used for a wide range of applications,

including classification.

$18.$ True or False? Python is one of the world$$s most popular programming languages and is used to

create solutions that range from websites, data mining, machine learning, visualization, and more.

$19.$ True or False? Python is an interpreted language, as opposed to a compiled language, for which the

Python interpreter executes one statement at a time.

$20.$ True or False? Unlike other programming languages that use braces $\{\}$ to group related statements,

Python instead relies on statement indentation to group statements.

$21.$ True or False? Data cleansing is normally a one$-$time event.

$22.$ True or False? The goal of the data$-$governance board is to continually improve the quality of data.

$23.$ True or False? Database developers refer to the process of correcting such data inconsistences as

$$normalizing the data.$$

$24.$ True or False? The data$-$quality assessment framework provides eight standard measurements based

on quality dimensions.

$25.$ True or False? Developers often refer to the process of transforming and cleansing data as $$data

wrangling,$$ or$,$ depending upon with whom you are speaking, $$data munging.$$

Multiple Choice $($each question is $5$ points$)$

$1.$

To use a Python library, the library code must exist on your system. To download and install a Python

library, developers use the $\_\_\_\_$ command. Then, you use the import statement to include the library

code within your script.

A$)$ QLP

B$)$ ELT

C$)$ PIP

D$)$ LOAD

$2.$ The $\_\_\_\_\_$ library defines Python data structures and functions that support machine$-$learning and

data$-$mining operations such as clustering, classification, and regression.

A$)$ pandas

B$)$ sklearn

C$)$ matplotlib

D$)$ numpy

$3.$ What values will the following statements display?

for i in range$(1,11)$

print$($i$)$

A$)1$ to $10$

B$)1$ to $11$

C$)1$ and $11$

D$)$ None of these is correct.

$4.\_\_\_\_\_$ is the process of detecting, correcting, and removing errors and inconsistences from data.

A$)$ Data mining

B$)$ Data cleansing

C$)$ Data washing

D$)$ Data reduction

$5.\_\_\_\_\_\_$ is a measure of the dat