The attached file has all instructions. No need to rush, the deadline is the first of February. Do not forget to send the program code at the end. Need 100%.
Enterprise Risk Management
- Risk management is one of the most important components in empowering an organization to achieve its ultimate vision. With proper risk management culture and knowledge, team members will be “speaking” the same language, and they will leverage common analytical abilities to identify and mitigate potential risks as well as exploit opportunities in a timely fashion. In order to consolidate efforts, the existence of an integrated framework is crucial. This is why an ERM is necessary to the fulfillment of any organization’s goals and objectives.
In your final research project for the course, your task is to write a 7-10 page paper discussing the following concepts:- Introduction
- Why should an organization Implement an ERM application?
- What are some key challenges and solutions to Implementing an ERM?
- What is Important for an effective ERM?
- Discuss at least one real organization that has been effective with implementing an ERM framework or /application.
- Conclusion, final thoughts for future research
- Recommendation
- Your paper should meet the following requirements:
- Be approximately seven to ten pages in length, not including the required cover page and reference page.
- Follow APA7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
- Support your answers with the readings from the course, the course textbook, and at least ten scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find supplemental resources.
- Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.
Chat application demo (using Angular and spring)
I want to demo real time chat web application with technology Angular 8 or above (frontend) and Spring (backend) with mysql databse
1. user can signup and login and chat with each other (one to one chat for example facebook)
2. web page design is not needed.
3. all chat should be store in database. if user have some chat and when it logout then after login all previous chat should be present in chat history.
4. all configuration for spring should be in xml based whatever required.
5. it should be work in windows 10.
Advantages and disadvantages of remote authentication protocols
Discuss both advantages and disadvantages of remote authentication protocols and how business will use them.
500 words
APA format with references needed.
Discussion 7 Info Tech Strat Plan
In your initial post, answer the following questions about IT Project Management. In addition to your course textbook (chapter 11 attached), utilize the UC library for information and examples.
What is a project, and what are its main attributes? How is a project different from what most people do in their day-to-day jobs? Discuss the importance of top management commitment and the development of standards for successful project management. Provide examples to illustrate the importance of these items based on your experience on any type of project. Discuss the unique challenges that an IT project presents.
Please make your initial post substantive. A substantive post will do of the following:
At least one scholarly source should be used in the initial discussion thread. Be sure to use information from your readings and other sources from the UC Library. Use proper citations, intext citations and references in your post.
Research project need it by oct 12
Project. Students will write a final paper that answers a research question by utilizing risk models. The paper should consist of an introduction section that clearly states motivation and research question or hypothesis, data and methodology section that includes discussion on strengths and weaknesses of your method/model, results section that presents the findings of the model, and conclusions section that answers the research question and highlights valuable takeaways. The final paper should be no longer than 10 pages double spaced using Arial font size 11 with 1” margins and submitted by the due date as indicated. The written paper is worth 200 points, while the presentation is worth 100 points.
Examples of successful research papers: “Investment Risk and Firm’s Market Capitalization”, “Are Islamic Banking Compliant ETFs safer than the Traditional ETFs?”, “Comparing the Risk of Companies with Male CEOs to the Risk of Companies with Female CEOs”, “Is energy industry safer than the automotive industry?”, etc.
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?…
Final Reflection Assignment
The survey assignment.
Nearing the end of the semester, it is now time for students to reflect on the knowledge obtained in their course(s) and determine the effectiveness of incorporating real-world experience into our academic curriculum. Please complete the survey/reflection to the best of your ability.
Students should;
Be able to apply knowledge and theory gained in their courses of study within current workplace or in their future employment.
Be able demonstrate the application of theory to workplace in written form.
Be able to identify the benefits of incorporating real-world experience into an academic program.
My Subjects are : 1) Business Intelligence
2) Analyzing & Visualizing Data
Note: This assignment should be atleast 500 words and in APA format including references