Category: Data science

I want to edit and combine my works in the papers I have attached to create a 60-page thesis without references and make 60 presentation slides for the same content.
I want it to be like this:
Thesis Title: “Mapping Misinformation: Analyzing the Dynamics and Impacts of False Information in Digital Media”
Chapter 1: Introduction
Overview of the Thesis Topic
Significance of the Study
Objectives and Research Questions
Structure of the Thesis
Chapter 2: Literature Review
Theoretical Framework on Misinformation and Its Effects
Review of Previous Studies on Misinformation Dynamics
Impact of Misinformation on Public Health, with Focus on COVID-19
Include tables summarizing key studies or data (from your previous works).
Chapter 3: Methodology
Data Collection Methods (detailing how the data for each study was collected, including your previous works)
Analytical Techniques (how you analyzed the data, consistent with the methods from your previous papers)
Ethical Considerations
Chapter 4: Case Study Analysis
Geolocation Analysis of Misinformation (from “Mapping the Infodemic”)
Topic Modeling of COVID-19 Misinformation (integration of findings from your various studies)
Analysis of Misinformation Vacillation (from “SKM_Misinformation_Vacillation_Final”)
Chapter 5: Results
Synthesis of Findings Across Different Studies
Comparative Analysis of Misinformation Trends and Their Implications
Tables and Figures Illustrating Key Patterns and Trends
Chapter 6: Discussion
Interpretation of Results in the Context of Existing Literature
Implications for Policy and Public Health
Limitations of the Research
Chapter 7: Conclusion and Recommendations
Summary of Key Findings
Recommendations for Future Research
Strategies for Combating Misinformation
References
Comprehensive List of All Sources Cited
Appendices
Additional Data, Codebooks, or Methodological Details
Also, I have attached the PowerPoint template 

Download the excel file from Assignments -> HW02. It is titled HW2.xlsx
Change the title to userIDHW2.xlsx. Don’t change the sheet names from P1 through P4.
Upload it back to the Assignments -> HW02 link before midnight the evening of Wednesday, May 15. As long as it is there before class begins on Thursday morning, you will get full credit. No credit is received if submitted late.
I will post the solutions for your review.

I want to edit and combine my work to create a 60-page thesis without references and make 60 presentation slides for the same content.
I want it to be like this:
Thesis Title: “Mapping Misinformation: Analyzing the Dynamics and Impacts of False Information in Digital Media”
Chapter 1: Introduction
Overview of the Thesis Topic
Significance of the Study
Objectives and Research Questions
Structure of the Thesis
Chapter 2: Literature Review
Theoretical Framework on Misinformation and Its Effects
Review of Previous Studies on Misinformation Dynamics
Impact of Misinformation on Public Health, with Focus on COVID-19
Include tables summarizing key studies or data (from your previous works).
Chapter 3: Methodology
Data Collection Methods (detailing how the data for each study was collected, including your previous works)
Analytical Techniques (how you analyzed the data, consistent with the methods from your previous papers)
Ethical Considerations
Chapter 4: Case Study Analysis
Geolocation Analysis of Misinformation (from “Mapping the Infodemic”)
Topic Modeling of COVID-19 Misinformation (integration of findings from your various studies)
Analysis of Misinformation Vacillation (from “SKM_Misinformation_Vacillation_Final”)
Chapter 5: Results
Synthesis of Findings Across Different Studies
Comparative Analysis of Misinformation Trends and Their Implications
Tables and Figures Illustrating Key Patterns and Trends
Chapter 6: Discussion
Interpretation of Results in the Context of Existing Literature
Implications for Policy and Public Health
Limitations of the Research
Chapter 7: Conclusion and Recommendations
Summary of Key Findings
Recommendations for Future Research
Strategies for Combating Misinformation
References
Comprehensive List of All Sources Cited
Appendices
Additional Data, Codebooks, or Methodological Details
Also, I have attached the PowerPoint template 

You are the vice president of information technology at a small, growing business. You have been tasked with developing a plan for maintaining databases for storage of business data and use in business analytics.
Using the work from Weeks 1–5, create a 20-minute presentation (10 to 12 slides) to explain your Database Management Plan. Ensure you:
Provide an overview of how databases can be used in a company to store and extract information.
Distinguish how organizational data can be used in the most effective way through developing a database.
Compare how structured and unstructured data are used for data analytics, including concepts like the cloud and Hadoop.
Evaluate and assist company decision makers in understanding the importance of database administration and data governance in relation to building scalable and robust applications.
List the benefits of data administration compared to database administration.
Propose an effective data governance program.
Recommend how individual team roles can contribute to finding ways to build in ongoing monitoring; all roles have an interest in database quality and recovery.
Summarize how your plan will assist the company in overall effectiveness, including the value of analytic results, such as data visualization and finding and applying patterns.
Include videos, audio, photos, diagrams, or graphs as appropriate. Include substantial speaker notes or insert audio narration into your presentation. Explore the Microsoft® PowerPoint® website to locate instructions on recording audio for an executive audience. Your goal is to convince them that by implementing your Database Management Plan, the organization will be able to deliver effective, reliable data management support to meet business needs.

Please finish the chapters 4 to 7 in total 12000 of the report, 
Chapter 1-3 are already written
No SPSS needed
result in the need to use Python with tree base model analysis- random forest, XGboost, SVM to analysis
-result and discussion with the following angle to write:
Angles
Machine Learning positioning: 2. Model prediction ability as a product? -> is machine learning capable to predict injury in the future? -> from binary classification(this project) to multi-class classification (e.g. predict the injury site instead of injury or not, predict the injury risk level e.g. green, yellow, red)
Model findings on the data thru training and prediction process? -> feature importance -> whats insight from the importance, why the model treat some of the features more importanct than others after learning from the data
Feature importance usage: 1.1. compare 3 models and using the result and feature importance ONLY from the best model? ->by what score we decide the model is the best? precision? recall? roc auc score? accuracy? different intepretation ->recall: we dont mind about false positive case? can we treat those who falsely predicted injury people as higher risk patients? in this case, can the model be used as 1st line of screening? but if ONLY focus recall, model may lose the basic ability of classify injury or not, e.g. recall with 1 can mean that model classify all patient as injury.
1.2. Look into the result of 3 models and find out the common ground ->Compare the top 10 important features of 3 models and find out the common features appeared in all 3 ->Most common features means they all important despite the difference of 3 model algo, as different algo may have different apporach/bias to look into the data ->Are those common features align with your domain knowledge? e.g. Right hip – right knee alignment bla bla ->Find the connection between those commonly important features and your domain knowledge to create your story/justify your domain knowledge with these feature findings
Data Bias: 2.1. Notice that right Hip and right knee usually higher importance than left ->data bias? the majority of data are right hander that their main leg is left? ->as main leg is left, right hip strength is weaker and right knee align is worse? ->As the majority of data input are “right” so the model is biased to right ->biased model breed biased result and biased feature important ->improvment: shd we not differentiate 2 sides? or shd we change the target of the model from (Yes vs No) to (left side injury vs right side injury vs no injury, which is multi-class classification mentioned above)

Must have SPSS installed! This is an Applied Data Analysis class. Please read the instruction document thouroughly!! 

I want a research paper about audio deepfake detection (A website to determine if the audio is real or fake -fake means generated by AI-)
And I have a graduation project document that has all information and how I build this website

In this module, you have learned about digital transformation within the cloud, e-commerce, and artificial intelligence. Let’s see how much you have learned within this module. Please complete a summary of Module 12 in your own words. The summary should be at least 200 words in complete sentences.

***Please use the attached word document called “project details” to get a better understanding of the project and what is expected to be done. on this paper. 
***Please use ALL attached articles as your reference. 
***Please reference ALL scholoarly articles. 
A description of the original concept, including its intended audience , potential visualization uses, and usefulness, as well as at least four references to concepts from course readings.
Introduce dataset ( Company sales, transaction and product data), source, and visualization tool ( tableau). Reflect on data sources and reasons for choosing visualization tools.
Discuss problems or caveats that could impact data trustworthiness.
Project background, methodology, findings, lessons learned, and future work.

In this module, you have learned how technology has expanded over time and is used on a daily basis. Let’s see how much you have learned within this module. Please complete a summary of Module 14 in your own words. The summary should be at least 200 words in complete sentences.