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IT402: Discussion BoardPurpose In this discussion board, you will post your answer to the question. You will also read and respond to other classmates’ postings. This is an excellent way for you to interact with your colleagues and to share your thoughts about the question answer in a critical way. Action Items • Access the […]

/** * Finds the longest common suffix among the strings in an array. For example, * if arr is [“gladly”, “badly”, “boodly”, “sadly”], the method returns the * string “dly”. If arr is [“foo”, “food”], the method returns an empty string. * * @param arr array of strings * @return longest common suffix */ public […]

College of Computing and InformaticsAssignment 2 Deadline: Sunday 30/10/2022 @ 23:59 [Total Mark for this Assignment is 8] Student Details: Name: CRN: ID: Instructions: • You must submit two separate copies (one Word file and one PDF file) using the Assignment Template on Blackboard via the allocated folder. These files must not be in compressed […]

   /**    * Inserts one array into another at the given position. Existing elements are    * shifted to the right. For example, if arr is [10, 20, 30, 40, 50, 60], pos is    * 1, and toInsert is the array [101, 102, 103], then after calling this method,    * arr contains [10, 101, 102, 103, 20, 30]. If pos plus […]

CS 3304 – Data and Information StructuresAssignment 6 Due: 12/06/2022, 23:59 Submission: Submit your solutions as a single .pdf file through Blackboard. .pdf file will contain your solutions for all questions. If you scan your handwritten solutions, be sure that your handwriting is legible. Q1 (20 pts). 2-3-4 Tree. Given an empty 2-3-4 Tree, insert […]

MIS 6473 – Data Mining – Take Home Final – Fall 2022 – Dr. SegallDUE IN LAST CLASS Tuesday December 6, 2022 or DR. SEGALL’s OFFICE BU 216 OR WALL BASKET ON TUESDAY, DECEMBER 6, 2022 by 5PM!! Rules of Take-Home Exam: 1.) You are allowed to use any resources except your classmates. 2.) Your […]

You must submit buildable .java files for credit. In this assignment, we will finish up the lexer and parser (for now) and start on the work to get the interpreter completed. We will start by adding the code to lex/parse function calls. Then we will implement the built-in functions. Adding Function Calls We start by […]

2Presentation Introduce your data, including some background on the problem domain and explanation of the attributes/features. (10 pts) Explicitly state the data science questions you are trying to answer. (10 pts) Present the three approaches that you ran in SAS, including the results (trees, coefficients, confusion matrices, area under the ROC curve, clusters, etc.) and your interpretation. (10 pts) Include one or two slides about your conclusions. (10 pts) Add one slide on what you think was the hardest part of this project and why. (10 pts) Project submission Describe the data. Especially pay attention to the different attributes/features and their meaning. I should be able to have a detailed understanding of the data by reading your report, without actually looking at the data. (10 pts) Explicitly list the data science questions that you are asking and will try to answer. (10 pts) Try at least three different data mining approaches from SAS on your data. Present your results (trees, coefficients, confusion matrices, etc.) and interpret them. What insights did you gain? Are the results good or bad? (10 pts) Use figures wherever you can but accompany them with an interpretation (text). (10 pts) Include a section where you summarize the answers to your earlier questions (after presenting the results). (10 pts) Oxygen Consumption Variation in Fitness Name: Ozoya Ohilebo Course code: Course Name: Course Instructor: Date: Project Outline • The Dataset of my project is fitness predictions. • The columns of the Date are 10, the rows are 36, the label (not available), and […]

Utilize Access or Excel to create a Data Dictionary from the database exported from HCUP Instructions This data download contains the information from your visualization and contains five tabs. The first tab (Instructio . The first tab (Instructions) describes the document and provides keyboard shortcuts for navigation and the manipulation of th nd the manipulation of the data. The second tab (Title) contains the title of the visualization. The […]

ENGR 240 – Computational Methods for Engineering ENGR 240 Computational Methods for Engineering Lecture 15: Analyzing Data Statistically Readings: : Excel p. 141-168, Matlab p. 153-156 Basic Concepts in Statistics Mean n x1 + x2 + L + xn ) 1 ( x= = x n ∑ n i =1 i =AVERAGE(A1:A20) Median – Value […]