Python Coding

 

Problem 1: Create a Python program to solve a simple pay calculation. Calculate the amount of pay, given employee name, hours worked, and hourly rate. (The formula to calculate payroll is pay = hourly rate * hours worked.) Display employee name, hourly rate, hours worked, and pay. (Do not add any rules such as overtime)

Problem 2: Create a Python program to calculate the average miles per gallon obtained on a trip. Input car name, the amount of gas used and the number of miles driven. (The formula to calculate miles per gallon is miles per gallon = number of miles driven / amount of gas used. ) Display car name, gas used, miles driven and MPG. Use your own values to test the. You can hard code the values or you can use the input() function. See announcement  for sample code.

SA – Governance

The week’s reading mentioned the term “Governance”. In your own words briefly state (a) what  governance is from a security perspective, (b) it’s main objective, and (c) how should it be integrated into an organization. 

500 words in APA format with References.

WK- 5&6

Assignment 1

Excel is probably the most popular spreadsheet software for PCs. Why? What can we do with this package that makes it so attractive for modeling efforts?

Refer to Chapter 8 in the attached textbook:

Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6. 

Requirement: 

****Separate document for each assignment****

Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.

Add references separately for each assignment question.

Strictly follow APA 7th Edition Format

No plagiarized content please! Attach a plagiarized report.

Check for spelling and grammar mistakes!

$5 max. Please bid if you agree.

Assignment 2

What are the common business problems addressed by Big Data analytics? In the era of Big Data, are we about to witness the end of data warehousing? Yes/No Why?

Refer to Chapter 9 in the attached textbook:

Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6. 

Requirement: 

****Separate document for each assignment****

Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.

Add references separately for each assignment question.

Strictly follow APA 7th Edition Format

No plagiarized content please! Attach a plagiarized report.

Check for spelling and grammar mistakes!

$5 max. Please bid if you agree.

Assignment 3

There have been many books and opinion pieces written about the impact of AI on jobs and ideas for societal responses to address the issues. Two ideas were mentioned in the chapter – UBI and SIS. What are the pros and cons of these ideas? How would these be implemented?

Refer to Chapter 10 in the attached textbook:

Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6. 

Requirement: 

****Separate document for each assignment****

Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.

Add references separately for each assignment question.

Strictly follow APA 7th Edition Format

No plagiarized content please! Attach a plagiarized report.

Check for spelling and grammar mistakes!

$5 max. Please bid if you agree.

Assignment 4

Explain how GDSS can increase some benefits of collaboration and decision making in groups and eliminate or reduce some losses.

Refer to Chapter 11 in the attached textbook:

Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6. 

Requirement: 

****Separate document for each assignment****

Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.

Add references separately for each assignment question.

Strictly follow APA 7th Edition Format

No plagiarized content please! Attach a plagiarized report.

Check for spelling and grammar mistakes!

$5 max. Please bid if you agree.

want a case study asap

Do a case analysis of any one of the cases presented in Chapter 5 in the textbook (Chapple et. al.), pages 105 to 107. Make certain that your report covers all the major elements of the case. You should indicate clearly which case you have analyzed, the Private Sector, the Public Sector or the Critical Infrastructure.

Make sure to follow APA style. Please make sure your submission is 2 – 3 pages in length and meet the minimum APA formatting guidelines:

•    12-pt, Times New Roman font
•    Double-spaced
•    1” margins on all sides
•    Please provide a title page including your Name, Course Number, Date of Submission, and Assignment name.
•    Paraphrasing of content – Demonstrate that you understand the case by summarizing the case in your own words. Direct quotes should be used minimally.
•    Reference Section (A separate page is recommended.) Please cite the source using APA formatting guidelines. If you need guidance or a refresher on this, please visit: https://owl.english.purdue.edu/owl/resource/560/10/ (link is external) Be sure to include at least three reference sources.
•    In-text citations – If you need additional guidance, please visit: https://owl.english.purdue.edu/owl/resource/560/02/ (link is external)

discussion

 

Discussion

According to Kirk (2019), The essence of “Formulating Your Brief” is to “identify the context in which your work will be undertaken and then define its aims – this is the who, what, where, when and how.” It could be formal or informal as any project you think you must make it. This phase is where you create a vision for your work.

Reference

Kirk, A. (2019). Data Visualisation: A Handbook for Data Driven Design. Thousand Oaks, CA: Sage Publications, Ltd.

Why is it so important to formulate your brief for a data presentation? Discuss some ways you would implement to formulate an effective brief. What are some advantages to your methods? What are some disadvantages?

cloud computing service

You are the CIO of ABC Corp a government contracting corporation that prioritizes security. You are tasked with moving the development team’s resources to the cloud. You need to provide a report to top leadership justifying the type of cloud solution that would be appropriate for this move. Provide the following in your report.

  1. Describe the MOST appropriate cloud service and research justification of its appropriateness.
  2. Select a Cloud Deployment model and research justification of its appropriateness.
  3. What are some of the pros and cons of both the cloud service and model you selected?

Paper should be in APA format, with at least two scholarly resources, and at least 1000 words.

building an AI machine/Deep learning applicationPart 1 – Following is the link of the Project and Dataset :https://www.analyticsvidhya.com/blog/2018/05/24-ultimate-data-science-projects-to-boost-your-knowledge-and-skills/

 Part 1 –

Following is the link of the Project and Dataset :

https://www.analyticsvidhya.com/blog/2018/05/24-ultimate-data-science-projects-to-boost-your-knowledge-and-skills/

Run the code several times and show the intended output…you also need to EXPLAIN the output…

You will also need to provide output for the following:

Python file containing your code…

Dimensions of the data…

Sample of the data…

Statistical summary of the data…

Class distribution…

One univariate and one multivariate diagram…

Decision Tree…explain the best depth and why?…

Results of training and new data, 80%-20% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Results of training and new data…

[9:28 PM, 12/10/2020] Mohammed Monroe: Part 1 –

Following is the link of the Project 

1. Iris Data Set

https://www.analyticsvidhya.com/blog/2018/05/24-ultimate-data-science-projects-to-boost-your-knowledge-and-skills/

Run the code several times and show the intended output…you also need to EXPLAIN the output…

You will also need to provide output for the following:

Python file containing your code…

Dimensions of the data…

Sample of the data…

Statistical summary of the data…

Class distribution…

One univariate and one multivariate diagram…

Decision Tree…explain the best depth and why?…

Results of training and new data, 80%-20% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Results of training and new data, 50%-50% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Part 2 – Updated Code…

Now that you have a working base of code, let’s apply it to a “real world” scenario…

Find an article or video that shows a potentially SIMILAR usage of the application you created in Part 1…

Update the original application so that it “works” for the NEW application…

In this “Movie Recommendation” project, you might find an article on “book recommendations” …you would then update the original program to handle the new scenario…

YOU MUST UPDATE THE ORIGINAL CODE…do not provide entirely new code base.

Run the code several times and show the intended output…you also need to EXPLAIN the output…

You will also need to provide the same output for THIS application, as you did for the ORIGINAL application…specifically:

Python file containing your code…

Dimensions of the data…

Sample of the data…

Statistical summary of the data…

Class distribution…

One univariate and one multivariate diagram…

Decision Tree…explain the best depth and why?…

Results of training and new data, 80%-20% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Results of training and new data, 50%-50% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

                                                    (OR)

building an AI machine/Deep learning applicationPart 1 –

Following is the link of the Project and Dataset :

https://www.analyticsvidhya.com/blog/2016/06/quick-guide-build-recommendation-engine-python/

https://grouplens.org/datasets/movielens/100k/

Run the code several times and show the intended output…you also need to EXPLAIN the output…

You will also need to provide output for the following:

Python file containing your code…

Dimensions of the data…

Sample of the data…

Statistical summary of the data…

Class distribution…

One univariate and one multivariate diagram…

Decision Tree…explain the best depth and why?…

Results of training and new data, 80%-20% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Results of training and new data, 50%-50% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Part 2 – Updated Code…

Now that you have a working base of code, let’s apply it to a “real world” scenario…

Find an article or video that shows a potentially SIMILAR usage of the application you created in Part 1…

Update the original application so that it “works” for the NEW application…

In this “Movie Recommendation” project, you might find an article on “book recommendations” …you would then update the original program to handle the new scenario…

YOU MUST UPDATE THE ORIGINAL CODE…do not provide entirely new code base.

Run the code several times and show the intended output…you also need to EXPLAIN the output…

You will also need to provide the same output for THIS application, as you did for the ORIGINAL application…specifically:

Python file containing your code…

Dimensions of the data…

Sample of the data…

Statistical summary of the data…

Class distribution…

One univariate and one multivariate diagram…

Decision Tree…explain the best depth and why?…

Results of training and new data, 80%-20% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Results of training and new data, 50%-50% split…

Accuracy report…what is it telling us?…

Confusion matrix…what is it telling us?…

Classification report…what is it telling us?…

Assignment

 discuss security and technical drivers for having an access control policy and the key tenets of that policy.  Follow APA standard. 

RP

 

paper must be from 6 – 10 pages excluding the required pages like title page, menu and so on.

The paper must consists of 4 sections – Introduction. Literature Review, Details and Conclusion.

See attachment