1|Page
QMB3302 UF FALL Final Exam Version 1,2&3 (3 Latest
Versions) Newest 2026 With Complete Questions And
Correct Answers |Already Graded A+||Newest
Version!!!
Pipelines are useful (in analytics with Python sense) for
the following reasons? (choose all that apply)
- Pipelines make it easy to repeat/replicate steps and run
multiple models
- Pipelines are good for moving data into your
programming environment
- Pipelines automatically update to new versions of Python
- Pipelines help organize code you used to clean and treat
your data
- Pipelines make it very easy to change small things in
your model, like which variable to include - Answer--
Pipelines make it easy to repeat/replicate steps and run
multiple models
- Pipelines help organize code you used to clean and treat
your data
- Pipelines make it very easy to change small things in
your model, like which variable to include
,2|Page
The basic idea of a regression is very simple. We have
some X value (which we call ______) and some Y value
that we are trying to _____. We could have multiple Y
value, but that is not something we have covered. -
Answer-features; predict
Y and y-hat are a little different. Y is our target vector, and
y-hat is an output in our model that is a.... (choose one of
the following)
- estimate or prediction of y
- the actual value of y
- an axis on our 2 way graph
- a combination of XY intercept coordinates - Answer-
estimate or prediction of y
When looking at the code in the videos, we sometimes
used a variable to hold out model. What is the significance
of the word "model" in the below code?
model = LinearRegression(fit_intercept=True) - Answer-
'model' is a named variable and is just holding our linear
regression model. It could be renamed anything. The word
itself is not important. It is just a container.
, 3|Page
What is a good model fit value? - Answer-unknowable
without knowing/understanding the context of the domain
Imagine X in the below is a missing value. If I were to run
a median imputer on this set of data, what would the
return value be?
50, 60, 70, 80, 100, 60, 5000, X - Answer-70
In kmeans - the algorithm has multiple iterations. If we
have a simple 2d problem, and a k = 2, it begins by
assigning the first centroids to _____, and then _____ of
each point or record to the centroid. - Answer-a random
initial starting point; measuring the distance
An example this week was done in Jupiter like
environment called Google Collab. What was the
language that was demonstrated in the videos? - Answer-
TensorFlow
True or False: Neural Networks in computing are exactly
the same as neural networks from biology. - Answer-False
QMB3302 UF FALL Final Exam Version 1,2&3 (3 Latest
Versions) Newest 2026 With Complete Questions And
Correct Answers |Already Graded A+||Newest
Version!!!
Pipelines are useful (in analytics with Python sense) for
the following reasons? (choose all that apply)
- Pipelines make it easy to repeat/replicate steps and run
multiple models
- Pipelines are good for moving data into your
programming environment
- Pipelines automatically update to new versions of Python
- Pipelines help organize code you used to clean and treat
your data
- Pipelines make it very easy to change small things in
your model, like which variable to include - Answer--
Pipelines make it easy to repeat/replicate steps and run
multiple models
- Pipelines help organize code you used to clean and treat
your data
- Pipelines make it very easy to change small things in
your model, like which variable to include
,2|Page
The basic idea of a regression is very simple. We have
some X value (which we call ______) and some Y value
that we are trying to _____. We could have multiple Y
value, but that is not something we have covered. -
Answer-features; predict
Y and y-hat are a little different. Y is our target vector, and
y-hat is an output in our model that is a.... (choose one of
the following)
- estimate or prediction of y
- the actual value of y
- an axis on our 2 way graph
- a combination of XY intercept coordinates - Answer-
estimate or prediction of y
When looking at the code in the videos, we sometimes
used a variable to hold out model. What is the significance
of the word "model" in the below code?
model = LinearRegression(fit_intercept=True) - Answer-
'model' is a named variable and is just holding our linear
regression model. It could be renamed anything. The word
itself is not important. It is just a container.
, 3|Page
What is a good model fit value? - Answer-unknowable
without knowing/understanding the context of the domain
Imagine X in the below is a missing value. If I were to run
a median imputer on this set of data, what would the
return value be?
50, 60, 70, 80, 100, 60, 5000, X - Answer-70
In kmeans - the algorithm has multiple iterations. If we
have a simple 2d problem, and a k = 2, it begins by
assigning the first centroids to _____, and then _____ of
each point or record to the centroid. - Answer-a random
initial starting point; measuring the distance
An example this week was done in Jupiter like
environment called Google Collab. What was the
language that was demonstrated in the videos? - Answer-
TensorFlow
True or False: Neural Networks in computing are exactly
the same as neural networks from biology. - Answer-False
