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?…

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

Python Data Analytics Project

THE PROCESS

1. SELECT a domain area of research (COVID-19 related) *Please chat with me for pre-approval

2.  FORMULATE a problem statement & hypothesis. describe the problem in details you wish to explore.

3. FRAME the question(s) according to your domain

a. Understand A Business

b. Understand A Stakeholders

4. OBTAIN data for your project 

a. Describe the Data: Information about the dataset itself, e.g., the attributes and attribute types, the number of instances, your target variable. 

5. SCRUB the data, this includes cleaning and preparing the data for analytic purposes

6. ANALYZE the data, looking for patterns and insights (EDA & Analytics) *Use Jupyter Notebook

7. SUMMARIZE your findings

Discrete structures

 

Chapter 1

1.1 (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)

1.2 (1, 2, 3, 4, 5, 8, 9, 10, 11, 12)

1.3 (1, 2, 3, 13, 14)

Chapter 2

2.1 (1, 2, 3, 5, 6, 7, 8, 12, 13, 14, 15, 16, 17, 25, 26)

2.2 (1, 2, 3, 4, 5, 6, 9, 10)

2.3 (1, 2, 3, 4, 5, 6, 7, 8, 12)

 

Chapter 4

4.1 (1,2,3,4,5,6,7,8,9,10,15,16,18,24)

4.2 (1,2,4,12)

4.3 (1,2,3,4,5,6,9,10,11,15)

4.4 (1,2,3,4,5,6,12,13)

4.5 (1,2,3,4,7,8,11)

Chapter 5

5.1 (1,2,3,4,5,6,7,8,10,11,12,18,29,33,34,37,40,43,59,62,71,72)

5.2 (1,2,6,20,21,22,23,26,27)

5.3 (3,4,5)

5.4 (1,2)

5.5 (1,2,3,4)

5.6 (1,2,3,4,22)

 

Chapter 6

6.1 (1ab, 14, 17, 34)

6.2 (1)

6.3 (1)

Chapter 7

7.1 (1, 17, 18)

7.2 (9, 15)

Chapter 8

8.1 (7, 11, 13, 14)

8.2 (1, 2)

8.3 (2, 5)

8.4 (1)

security

Securing IoT Devices: What are the Challenges?

Security practitioners suggest that key IoT security steps include:

1) Make people aware that there is a threat to security;

2) Design a technical solution to reduce security vulnerabilities;

3) Align the legal and regulatory frameworks; and

4) Develop a workforce with the skills to handle IoT security.

Final Assignment – Project Plan (Deliverables):

Address each of the FOUR IoT security steps listed above in terms of IoT devices.

Explain in detail, in a step-by-step guide, how to make people more aware of the problems associated with the use of IoT devices.

RS

or this project, select an organization that has leveraged Cloud Computing technologies in an attempt to improve profitability or to give them a competitive advantage.  Research the organization to understand the challenges that they faced and how they intended to use Cloud Computing to overcome their challenges.  The paper should include the following sections each called out with a header.
• Company Overview:  The section should include the company name, the industry they are in and a general overview of the organization.
• Challenges: Discuss the challenges the organization had that limited their profitability and/or competitiveness and how they planned to leverage Cloud Computing to overcome their challenges.
• Solution:  Describe the organization’s Cloud Computing implementation and the benefits they realized from the implementation.  What was the result of implementing Cloud Computing?  Did they meet their objectives for fall short?
• Conclusion:  Summarize the most important ideas from the paper and also make recommendations or how they might have achieved even greater success.Requirements:The paper must adhere to APA guidelines including Title and Reference pages.  There should be at least three scholarly sources listed on the reference page.  Each source should be cited in the body of the paper to give credit where due.  Per APA, the paper should use a 12-point Time New Roman font, should be double spaced throughout, and the first sentence of each paragraph should be indented .5 inches.  The body of the paper should be 3 – 5 pages in length.  The Title and Reference pages do not count towards the page count requirements.