### Our Services

Get 15% Discount on your First Order

# Final Exam Due Saturday 11:59 pm (Week 15) You cannot use any of the datasets in our assignments, class notes, and your own midterm project. If

Final Exam

Due Saturday 11:59 pm (Week 15)

You cannot use any of the datasets in our assignments, class notes, and your own midterm
project. If you are using the same one, you will receive 0 for your final project.

1. Question Formulation (5 points): You need to devise a question that can be
answered through data analysis. This question should be of your own creation,
and it should reflect your curiosity and interest.

2. Data collection (10 points): You are responsible for finding the appropriate
dataset that aligns with your chosen question. Ensure that the data is clean and
organized for analysis. If you don’t know where to find the data set, you can use
Kaggle.com It can give you more inspiration about the question formulation and
data collection. You need to state where you get your data from in order to

3. Exploratory Data Analysis (30 points): Conduct an EDA to understand the
characteristics of your dataset. This step will help you gain insights and identify
patterns in the data. (Similar to Assignment 2.) Here are some key components of
EDA I am expecting from your paper: (6 points for each following component (if
your EDA does not have any categorical variable), or 5 points each (if your EDA
has the analysis of categorical variables.)

1) summary statistics: compute basic statistics for the dataset, such as mean,
median, standard deviation, minimum, maximum, and quartiles. It provides an
overview of the data’s central tendencies and spread.

2) Data Visualization: Create various plots and charts to visualize the data’s
distribution and relationships. Common visualization tools include histograms, box
plots, scatter plots, bar graphs, and line graphs.

3) Data Distribution: Examine the distribution of individual variables. This helps in
identifying whether the data is normally distributed, skewed, or exhibits other
patterns. Understanding the distribution can influence the choice of statistical
tests and modeling techniques.

4) Correlation Analysis: Determine the relationships between variables using
correlation coefficients or scatter plots. It can reveal potential associations and
dependencies between variables.

5) Categorical Variables (If your data involves this type of variable and you think it
is important to answer your question. If the categorical variables are not that

important to answer your questions, don’t worry about it.): Explore the
distribution of categorical variables using frequency tables, bar charts, or pie
charts.

6) Hypothesis Generation: Eventually your exploratory data analysis can lead to the
formulation of hypotheses about relationships or patterns in the data to answer your
question or guide further analysis.

4. Machine Learning (30 points): Build at least 3 different predictive models. (They can
answer the same question, and you will need to compare their performances and pick the best
one. Or they can answer different questions. You have a lot of flexibilities for this step, but all
the models should help you answer the question that you find in step 1.

5. Project Structure (20 points): While this is a mini-project, your report should follow a
structure similar to a combination of Assignment 2 and Assignment 3. This means it
should include sections for introduction, Data collection and Preprocessing, EDA,
Machine Learning, Results and Discussion, and Conclusion.

6. Data Attribution and References (5 points): In the conclusion section of your report,
make sure to include a subsection titled “Data Attribution and References.” In this
subsection, provide a detailed list of the sources where you obtained your data, including
the dataset name, the organization or website from which it was sourced, and any
relevant publication or citation information.
Additionally, if you consulted external research papers, articles, or resources during your
project, please list these references in the same section.

General Requirements
1) You will need to write up your questions, findings, interpretations, and results for

this assignment. It will be a great idea to screenshot your codes, results, and graphs
so that you can explain your findings along with them. (It is also easier for me to
follow you when I read your paper). A pdf file is required. There is no page limit but
try to be straightforward with your answers.

2) The py file that you have used to finish your assignment. (It may be a duplicate or
somewhat duplicate of the screenshots that you have inserted in your paper but
that is okay. I would like to look over your codes.)

Order a Similar Paper and get 15% Discount on your First Order

## Related Questions

### Discuss your experiences with distressed projects. What lessons did you learn from these experiences?

Discuss your experiences with distressed projects. What lessons did you learn from these experiences?

### Operational Excellence Week 2 AssignmentInformation

Operational Excellence Week 2 Assignment Information Systems for Business and Beyond Questions: · Chapter 3 – study questions 1-8, Exercise 2, 4 & 5 Information Technology and Organizational

### Generative adversarial nets are mentioned in 2014 by Ian Goodfellow et al. Why is generative adversarial network a key turning point in the history

Generative adversarial nets are mentioned in 2014 by Ian Goodfellow et al.  Why is generative adversarial network a key turning point in the history

### attached file. An asset management company must replace the manager of its two signature mutual funds, who is about to retire. Two candidates have

attached file.  An asset management company must replace the manager of its two signature mutual funds, who is about to retire. Two candidates have been

### Final Exam Due Saturday 11:59 pm (Week 15) You cannot use any of the datasets in our assignments, class notes, and your own midterm project. If

Final Exam Due Saturday 11:59 pm (Week 15) You cannot use any of the datasets in our assignments, class notes, and your own midterm project.

### Hi Attached is the sample of Letter of recommendation Please write about it accordingly 1. Write about author :AUTHOR WILL BE professor David

Hi  Attached is the sample of Letter of recommendation  Please write about it accordingly  1. Write about author :AUTHOR WILL BE professor David Kimble I

### Hi Attached is the sample of Letter of recommendation Please write about it accordingly 1. Write about author :AUTHOR WILL BE professor David

Hi  Attached is the sample of Letter of recommendation  Please write about it accordingly  1. Write about author :AUTHOR WILL BE professor David Kimble I

### 5/15/24, 10:59 AM Assignment Information1/3IT 202 Project One Milestone Guidelines and RubricOverviewFor the purposes of this assignment,

5/15/24, 10:59 AM Assignment Information 1/3 IT 202 Project One Milestone Guidelines and Rubric Overview For the purposes of this assignment, imagine that you are

### Perimeter defense techniquesEvaluate the types of assessments, select one that you might use, and explain why it is important. Of the top eight areas

Perimeter defense techniques Evaluate the types of assessments, select one that you might use, and explain why it is important. Of the top eight areas

### Project 3 – Ensemble Methods and Unsupervised Learning In this project you will explore some techniques in unsupervised learning as well as

Project 3 – Ensemble Methods and Unsupervised Learning In this project you will explore some techniques in unsupervised learning as well as ensemble methods. It

### PDF for reference purpose other file is requirementPython Installation & Examples Atif Farid Mohammad PhD1. Open any Browser 2. Go to 3. Click

PDF for reference purpose other file is requirement Python Installation & Examples Atif Farid Mohammad PhD 1. Open any Browser 2. Go to 3. Click

### Operational Excellence Week 2 Assignmentinformation

Operational Excellence Week 2 Assignment information Systems for Business and Beyond Questions · Chapter 2 – study questions 1-10, Exercise 2      Information Technology

### Pg. 01Project I ProjectDeadline: Sunday 12/5/2024 @ 23:59[Total

Pg. 01 Project I Project Deadline: Sunday 12/5/2024 @ 23:59 [Total Mark is 14] Introduction to Database IT244 College of Computing and Informatics Project Instructions

### Project 3 – Ensemble Methods and Unsupervised Learning In this project you will explore some techniques in unsupervised learning as well as ensemble

Project 3 – Ensemble Methods and Unsupervised Learning In this project you will explore some techniques in unsupervised learning as well as ensemble methods. It

### Assignment 6 Due Saturday 11:59 pm (Week 14) Part 1 (50 points) We will explore the Marvel Network Universe. The dataset which you will find in

Assignment 6 Due Saturday 11:59 pm (Week 14) Part 1 (50 points) We will explore the Marvel Network Universe. The dataset which you will find

### Project 3 – Ensemble Methods and Unsupervised Learning In this project you will explore some techniques in unsupervised learning as well as ensemble

Project 3 – Ensemble Methods and Unsupervised Learning In this project you will explore some techniques in unsupervised learning as well as ensemble methods. It

### Identify at least two ways in which hackers gather information about companies. What can companies do to limit this access, specifically to the ways you

Identify at least two ways in which hackers gather information about companies. What can companies do to limit this access, specifically to the ways you

### There is some debate about which is most appropriate. Do an Internet search on opening links in the same browser and then opening links in a new tab and

There is some debate about which is most appropriate. Do an Internet search on opening links in the same browser and then opening links in