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Computer Science

Browse assignment questions in this subject — or get yours written by a qualified tutor.

Computer Science

Normalization

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Discuss Normalization. In your own words, explain what Normalization is. You may use the scenario below to help demonstrate your understanding of normalization rules. Apply normalization rules. Create an ER diagram to display the third normal form of the data set listed belowNormalization: A veterinary office collects the following data for every pet that comes […]

Bigdata analysis_using SQL

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1. Details coding meaning and using SQL to analyze the bond price. Why I use SQL to details these, and compare with Nosql, why SQL is better? 2. What outcome I have eventually got from this piece of work?Which conclusions I can make from the analysis done?

Analyzing and Visualizing Data

  Background: Quantitative data can be measured and documented with numbers. Additionally, quantitative data can be represented as quantities. On the other hand, qualitative data is not measured with numbers, but it is represented by qualities. For example, I use quantitative methods to conduct my PhD research because I like working with counts and measures. […]

Any topic (writer’s choice)

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This is a Graduate course, so I am looking for someone to please write at that level. This will also have to have a low plagiarism percentage (20% or less). I will also need at least three (3) references and in APA sixth edition format. I will upload the readings after the writer is selected. […]

please i need this solution

  2. Consider the training examples shown in Table 3.5 (185 page) for a binary classification problem. (Chapter 3) (a) Compute the Gini index for the overall collection of training examples. (b) Compute the Gini index for the Customer ID attribute. (c) Compute the Gini index for the Gender attribute. (d) Compute the Gini index […]

Discussion

  The Problem of Asymmetric Information There is frequent confusion about the terms asymmetric information, moral hazard and adverse selection?  Asymmetric information is the cause, moral hazard and adverse selection are the outcome.  This video is great at explaining the connection between asymmetric information and moral hazard.  Your job will be to see what these […]

Leadership

  How Do I Become a Leader for the Future In Quarter 5 and Quarter 6 of the simulation, you will be finalizing your report to the board. One important area of your board report is your plan for the future. This weeks discussion will focus on how leaders need to be thinking and acting […]

Power Point slides – only 2 as per the instruction

  Assignment: Motion As Bryn Campbell (1978, p. 52) wrote: The illusion of movement can be exaggerated or even created. The progress of an action can be analysed within one or a series of photographs. Finally, there is what one might call the personality of movement-grace, tension, effort and even humour. It is a rich […]

Python Programming Language

  Please answer the following questions Why is Python a great starter language?  Historically, one of the first programming languages we learn has been some variant of BASIC. This is no longer the case.  1.  Why was BASIC good in the past?  2.  Why have we moved to Python?  3.  Feature-by-feature, how powerful is BASIC […]

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