COMP 7006 Data Science Computer Based Assignment - Data Analysis Task Due: Week 10, Friday November 25th Midnight Submit via vUWS using Turnitin linkStudents are expected to choose one...

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I am attaching the data set and sample paper to the file option alongwith the assignment question and brief. As stated in the assignment question I'll require a ppt as well as report and would also want the expert to send me a voice recording explaining the ppt which in turn I have to present to the class. The sample report attached can be looked to get an idea on the format.


COMP 7006 Data Science Computer Based Assignment - Data Analysis Task Due: Week 10, Friday November 25th Midnight Submit via vUWS using Turnitin link Students are expected to choose one dataset from the given datasets in the vUWS site. In this assignment you will look at various aspects of the data and write a report. You are expected to write the report as a publication to submit to a hypothetical conference. Use the format as the given sample paper (provided in vUWS) with additional information given as appendix. Submit the document online via the Turnitin link in vUWS. (Include a cover sheet provided in vUWS) The report should explain the steps taken and conclusions drawn from the data and should include research questions stated in statistical language, analysis justification and assumptions of the analysis. Explain your data analysis process logically and connectively. Students are expected to carry out the following: 1. Supervised Learning Either Two methods for Regression analysis OR Two methods for Classification analysis OR One method for Regression analysis AND One method for Classification analysis. PLUS: Model validation, evaluation and testing must be carried out. 2. Unsupervised Learning Perform Clustering OR Principal Component Analysis The Report Headings: • Abstract • Introduction • Data Description, Explore and Pre-processing • Aims and Objectives • Method 1: (Should include Model building, validation, evaluation and testing) • Method 2: (Should include Model building, validation, evaluation and testing) • Model Comparison • Conclusions and Recommendations • References Use the paper format provided and no more than 8 pages plus Appendix. R Code and other explanatory material should be included as an appendix. Finally – Project Presentation 4 Power Point Presentation slides and 3 minutes Zoom Video recording done over the Power Point slides to be submitted via Turnitin at the same time you submit the project document. PLEASE NOTE: The marking scheme for Project is set according to using R and Lectures and Lab work done in this subject. So, using Python or any other language will be a disadvantage. To maintain the integrity of the project submission please demonstrate understanding of what you learned in this unit and any other content provided will not score marks. Paper Title (use style: paper title) Paper Title* (use style: paper title) Subtitle as needed (paper subtitle) Authors Name/s per 1st Affiliation (Author) line 1 (of Affiliation): dept. name of organization line 2-name of organization, acronyms acceptable line 3-City, Country line 4-e-mail address if desired Authors Name/s per 2nd Affiliation (Author) line 1 (of Affiliation): dept. name of organization line 2-name of organization, acronyms acceptable line 3-City, Country line 4-e-mail address if desired Abstract—This electronic document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. *CRITICAL: Do Not Use Symbols, Special Characters, or Math in Paper Title or Abstract. (Abstract) Keywords—component; formatting; style; styling; insert (key words) I. Introduction (Heading 1) This template, modified in MS Word 2007 and saved as a “Word 97-2003 Document” for the PC, provides authors with most of the formatting specifications needed for preparing electronic versions of their papers. All standard paper components have been specified for three reasons: (1) ease of use when formatting individual papers, (2) automatic compliance to electronic requirements that facilitate the concurrent or later production of electronic products, and (3) conformity of style throughout a conference proceedings. Margins, column widths, line spacing, and type styles are built-in; examples of the type styles are provided throughout this document and are identified in italic type, within parentheses, following the example. Some components, such as multi-leveled equations, graphics, and tables are not prescribed, although the various table text styles are provided. The formatter will need to create these components, incorporating the applicable criteria that follow. II. Ease of Use A. Selecting a Template (Heading 2) First, confirm that you have the correct template for your paper size. This template has been tailored for output on the A4 paper size. If you are using US letter-sized paper, please close this file and download the file “MSW_USltr_format”. B. Maintaining the Integrity of the Specifications The template is used to format your paper and style the text. All margins, column widths, line spaces, and text fonts are prescribed; please do not alter them. You may note peculiarities. For example, the head margin in this template measures proportionately more than is customary. This measurement and others are deliberate, using specifications that anticipate your paper as one part of the entire proceedings, and not as an independent document. Please do not revise any of the current designations. III. Prepare Your Paper Before Styling Before you begin to format your paper, first write and save the content as a separate text file. Keep your text and graphic files separate until after the text has been formatted and styled. Do not use hard tabs, and limit use of hard returns to only one return at the end of a paragraph. Do not add any kind of pagination anywhere in the paper. Do not number text heads-the template will do that for you. Finally, complete content and organizational editing before formatting. Please take note of the following items when proofreading spelling and grammar: A. Abbreviations and Acronyms Define abbreviations and acronyms the first time they are used in the text, even after they have been defined in the abstract. Abbreviations such as IEEE, SI, MKS, CGS, sc, dc, and rms do not have to be defined. Do not use abbreviations in the title or heads unless they are unavoidable. B. Units · Use either SI (MKS) or CGS as primary units. (SI units are encouraged.) English units may be used as secondary units (in parentheses). An exception would be the use of English units as identifiers in trade, such as “3.5-inch disk drive.” · Avoid combining SI and CGS units, such as current in amperes and magnetic field in oersteds. This often leads to confusion because equations do not balance dimensionally. If you must use mixed units, clearly state the units for each quantity that you use in an equation. · Do not mix complete spellings and abbreviations of units: “Wb/m2” or “webers per square meter,” not “webers/m2.” Spell units when they appear in text: “...a few henries,” not “...a few H.” Identify applicable sponsor/s here. If no sponsors, delete this text box (sponsors). · Use a zero before decimal points: “0.25,” not “.25.” Use “cm3,” not “cc.” (bullet list) C. Equations The equations are an exception to the prescribed specifications of this template. You will need to determine whether or not your equation should be typed using either the Times New Roman or the Symbol font (please no other font). To create multileveled equations, it may be necessary to treat the equation as a graphic and insert it into the text after your paper is styled. Number equations consecutively. Equation numbers, within parentheses, are to position flush right, as in (1), using a right tab stop. To make your equations more compact, you may use the solidus ( / ), the exp function, or appropriate exponents. Italicize Roman symbols for quantities and variables, but not Greek symbols. Use a long dash rather than a hyphen for a minus sign. Punctuate equations with commas or periods when they are part of a sentence, as in ab     Note that the equation is centered using a center tab stop. Be sure that the symbols in your equation have been defined before or immediately following the equation. Use “(1),” not “Eq. (1)” or “equation (1),” except at the beginning of a sentence: “Equation (1) is ...” D. Some Common Mistakes · The word “data” is plural, not singular. · The subscript for the permeability of vacuum 0, and other common scientific constants, is zero with subscript formatting, not a lowercase letter “o.” · In American English, commas, semi-/colons, periods, question and exclamation marks are located within quotation marks only when a complete thought or name is cited, such as a title or full quotation. When quotation marks are used, instead of a bold or italic typeface, to highlight a word or phrase, punctuation should appear outside of the quotation marks. A parenthetical phrase or statement at the end of a sentence is punctuated outside of the closing parenthesis (like this). (A parenthetical sentence is punctuated within the parentheses.) · A graph within a graph is an “inset,” not an “insert.” The word alternatively is preferred to the word “alternately” (unless you really mean something that alternates). · Do not use the word “essentially” to mean “approximately” or “effectively.” · In your paper title, if the words “that uses” can accurately replace the word using, capitalize the “u”; if not, keep using lower-cased. · Be aware of the different meanings of the homophones “affect” and “effect,” “complement” and “compliment,” “discreet” and “discrete,” “principal” and “principle.” · Do not confuse “imply” and “infer.” · The prefix “non” is not a word; it should be joined to the word it modifies, usually without a hyphen. · There is no period after the “et” in the Latin abbreviation “et al.” · The abbreviation “i.e.” means “that is,” and the abbreviation “e.g.” means “for example.” An excellent style manual for science writers is [7]. IV. Using the Template After the text edit has been completed, the paper is ready for the template. Duplicate the template file by using the Save As command, and use the naming convention prescribed by your conference for the name of your paper. In this newly created file, highlight all of the contents and import your prepared text file. You are now ready to style your paper; use the scroll down window on the left of the MS Word Formatting toolbar. A. Authors and Affiliations The template is designed so that author affiliations are not repeated each time for multiple authors of the same affiliation. Please keep your affiliations as succinct as possible (for example, do not differentiate among departments of the same organization). This template was designed for two affiliations. 1) For author/s of only one affiliation (Heading 3): To change the default, adjust the template as follows. a) Selection (Heading 4): Highlight all author and affiliation lines. b) Change number of columns: Select the Columns icon from the MS Word Standard toolbar and then select “1 Column” from the selection palette. c) Deletion: Delete the author and affiliation lines for the second affiliation. 2) For author/s of more than two affiliations: To change the default, adjust the template as follows. a) Selection: Highlight all author and affiliation lines. b) Change number of columns: Select the “Columns” icon from the MS Word Standard toolbar and then select “1 Column” from the selection palette. c) Highlight author and affiliation lines of affiliation 1 and copy this selection. d) Formatting: Insert one hard return immediately after the last character of the last affiliation line. Then paste down the copy of affiliation 1. Repeat as necessary for each additional affiliation. e) Reassign number of columns: Place your cursor to the right of the last character of the last affiliation line of an even numbered affiliation (e.g., if there are five affiliations, place your cursor at end of fourth affiliation). Drag the cursor up to highlight all of the above author and affiliation lines. Go to Column icon and select “2 Columns”. If you have an odd number of affiliations, the final affiliation will be centered on the page; all previous will be in two columns. B. Identify the Headings Headings, or heads, are organizational devices that guide the reader through your paper. There are two types: component heads and text heads. Component heads identify the different components of your paper and are not topically subordinate to each other. Examples include ACKNOWLEDGMENTS and REFERENCES, and for these, the correct style to use is “Heading 5.” Use “figure caption” for your Figure captions, and “table head” for your table title. Run-in heads, such as “Abstract,” will require you to apply a style (in this case, italic) in addition to the style provided by the drop down menu to differentiate the head from the text. Text heads organize the topics on a relational, hierarchical basis. For example, the paper title is the primary text head because all subsequent material relates and elaborates on this one topic. If there are two or more sub-topics, the next level head (uppercase Roman numerals) should be used and, conversely, if there are not at least two sub-topics, then no subheads should be introduced. Styles named “Heading 1,” “Heading 2,” “Heading 3,” and “Heading 4” are prescribed. C. Figures and Tables 1) Positioning Figures and Tables: Place figures and tables at the top and bottom of columns. Avoid placing them in the middle of columns. Large figures and tables may span across both columns. Figure captions should be below the figures; table heads should appear above the tables. Insert figures and tables after they are cited in the text. Use the abbreviation “Fig. 1,” even at the beginning of a sentence. TABLE I
Answered 7 days AfterNov 18, 2022

Answer To: COMP 7006 Data Science Computer Based Assignment - Data Analysis Task Due: Week 10, Friday...

Rhea answered on Nov 21 2022
44 Votes
Machine Learning Models in R
Machine Learning Models in R
Author’s Name
Course
University
Machi
ne Learning
Supervised
Learning
Regression
Classification
Unsupervised
Learning
Principal Component Analysis
Clustering
Regression Analysis
Method-1
Linear Regression
Method-2
Multiple...
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