600 discussion on the organizational leadership (Description box has more info)

1. Organizational performance is the fifth aspect of the model, reflect on the question, do certain leadership behaviors improve and sustain performance at the individual, group, and organizational level?  Please explain your response.

2. There were two types of innovation addressed  (product and process innovation), please note your own personal definition of these concepts and offer an example of both.

Cyber Crime Final Project

Final Project

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This is an individual project or max, two team project in which you will conduct research on computer/digital forensics to learn more about associated underpinnings.

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The research you select should cover a forensics topic discussed or presented in the course. The topic you select is entirely up to you. I have included 6 examples below.  You can select one of these (first come/first serve) or submit your own.

Post in the Discussion Forum your Forensics Project. No Duplicate Forensics Project allowed.

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Post your Forensics Project Name in the Discussion Forum with the names of your team-mates by Tuesday, October 6th.

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The deliverable is (1) a report (PowerPoint) submitted to me in Blackboard (Final Project dropbox on Week 12 & Discussion Board thread) by Nov 10, and (2) a ten minute presentation in class on deliverable including any demo in Nov 10. The report should include:

– Project Description

– Project Goal/Objectives

– Details of Work Performed

– Outcomes

– Conclusion

Grading Rubric – 25 Points towards Final Grade:

– 15    points for Complexity of Project (High = 3, Medium = 2, Low = 1)

– 5    points for Report

– 5    points for Presentation

TOPIC:

(10) Image File Tampering

Create an image file tampering using either a FaceSwap app, Photo Editing application to change the image file. Compare the hash, EXIF (Exchangeable Image File) metadata of all the files you have tampered from the original.

The project requires a brief paper and a power point document. 

Paper needs to be no more than 2 pages.

Need both assignments by 4pm Eastern. 11/17
Paying $30 for both. 

plain view doctrine

 

Describe the plain view doctrine, and why  it has such a significant impact on digital forensics? What are three approaches to determining whether the doctrine applies to a specific case.

Use your own words and do not copy  the work of another student.

Attach your WORD document here.

Machine Learning Iris

Write a program to apply Machine Learning classification models to Iris flowers dataset. Follow the steps:

1.Download the iris.csv file (example: https://gist.github.com/netj/8836201). From this file the label (target) is defined with the ‘variety’ column and the features with ‘epal.length’, ‘sepal.width’, ‘petal.length’, ‘petal.width’ columns.
2.Preprocess the iris.csv file by label encoding the target ‘variety’ column.
3.Apply the following Machine Learning classification models: K Nearest Neighbors and Random Forests
4.Calculate the following classification metrics to validate the model: Accuracy Score, Confusion Matrix and Classification Report.
5.Explain how the program works and compare these two classification models.

Make you follow all of them so you don’t lose any grade points because of that. Feel free to contact me for any questions you may have.