All posts by : chebby

I have two graders that I have to get done by midnight.  They have to be done correctly and in the correct format .xsls The last guy did not do them right and I did not pass them.,

The attached document contains the question. 

250-300 words in length with a minimum of 2 references in APA format

You will complete this assignment in Python 3.x. Make sure you have downloaded the software and it is installed correctly. You will download it from this site.  You should download the Python programming language editor and compiler. To download Python (Download version 3.4 or the latest version–view the video above ). 

Create a comment block (starts at line 1 of your code) with the following information:

Jerimiah Ginn

 ENTD200 D005 Fall 2020 

 Dr. Novadean Watson-Williams 

Week # 4

Date completed

2. 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.

Discuss in 500 words or more the differences between and advantages of MAC, DAC, and RBAC.

1) Describe the purpose of the balance sheet and how this information is useful to the stakeholders of the corporation.  

2) Please describe the information presented on the statement of cash flows.  Why is this information important for the stakeholders of a corporation?  

Please see the attachment for the detail of this assignment

 Given the growth in telecommuting and other mobile work arrangements, how might offices physically change in the coming years? Will offices as we think of them today exist in the next ten years? Why or why not? 

Question: Networks have changed drastically over the last 30 years.  With the first introduction of the 56k modem, which was about 3 typewriter pages per second, to speeds well over 1Gbps these days, the ability to use networks globally, has changed the way we do business.  Using research, determine where networks will go in the next 5-10 years and how that might impact the global economy.

• Ask an interesting, thoughtful question pertaining to the topic
• Answer a question (in detail) posted by another student or the instructor
• Provide extensive additional information on the topic
• Explain, define, or analyze the topic in detail
• Share an applicable personal experience
• please cite properly in APA
• Make an argument concerning the topic.
• Your initial post must be at least 250 words.
• No Plagirsam 

1. In CLIQUE, the threshold used to find cluster density remains constant, even as the number of dimensions increases. This is a potential problem since density drops as dimensionality increases; i.e., to find clusters in higher dimensions the threshold has to be set at a level that may well result in the merging of low-dimensional clusters. Comment on whether you feel this is truly a problem and, if so, how you might modify CLIQUE to address this problem.

2. Name at least one situation in which you would not want to use clustering based on SNN similarity or density.

3. Give an example of a set of clusters in which merging based on the closeness of clusters leads to a more natural set of clusters than merging based on the strength of connection (interconnectedness) of clusters.

4. We take a sample of adults and measure their heights. If we record the gender of each person, we can calculate the average height and the variance of the height, separately, for men and women. Suppose, however, that this information was not recorded. Would it be possible to still obtain this information? Explain.

5. Explain the difference between likelihood and probability.

6. Traditional K-means has a number of limitations, such as sensitivity to outliers and difficulty in handling clusters of different sizes and densities, or with non-globular shapes. Comment on the ability of fuzzy c-means to handle these situations.

7. Clusters of documents can be summarized by finding the top terms (words) for the documents in the cluster, e.g., by taking the most frequent k terms, where k is a constant, say 10, or by taking all terms that occur more frequently than a specified threshold. Suppose that K-means is used to find clusters of both documents and words for a document data set.

(a) How might a set of term clusters defined by the top terms in a document cluster differ from the word clusters found by clustering the terms with K-means?

(b) How could term clustering be used to define clusters of documents?

8. Suppose we find K clusters using Ward’s method, bisecting K-means, and ordinary K-means. Which of these solutions represents a local or global minimum? Explain.

9. You are given a data set with 100 records and are asked to cluster the data. You use K-means to cluster the data, but for all values of K, 1 ≤ K ≤ 100, the K-means algorithm returns only one non-empty cluster. You then apply an incremental version of K-means, but obtain exactly the same result. How is this possible? How would single link or DBSCAN handle such data?

1. Provide an overview of your Course Project.
2. Make sure all the sections with important points are covered.
3. Include appropriate images as required.
4. Minimum 15 – 20 slides Presentation.
5. Separate slide for both title and list of references.