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Training and Testing: (Linear) Predictions Due Thursday, February 13 This lab utilizes the “ames.csv” data (found here). As a reminder, this is a dataset concerning home sales from Ames, Iowa. The end of this lab features a (lengthy) discussion about indexing in R; this is optional reading but highly encouraged to improve your coding. Linear […]
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Assignment: Array Duplicates For this lab you will work on the partially-implemented project array_duplicates. The project already contains the necessary cases to test your functions. Your job is to implement the following function definitions (your code should be written all in one file, the Functions.h file): • deleteDuplicates( ) o Parameters:anarrayandthenumberofelementsinthearray. o Deletesallduplicatesinthearray. o Youwillneedtoshifttherestoftheelementsafterdeletinganelement.
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Assignment 1 COMP 250 Winter 2020 posted: Friday, Jan. 24, 2020 due: Sunday, Feb. 9, 2020 at 23:59 Learning Objectives This assignment is meant for you to practice what we have learned in class in the first four weeks of the semester. A lot of the design decision have been taken for you, but it
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#1. Design and implement a function (ttt3x3n.lisp) to set the game to be run the game (computer versus computer) n times, to collect the statistics of run-times to be displayed. The program will have one argument n to run the function ttt3x3 n times (where n could be any positive integer). To run ttt3x3n program
Worksheet 3: Predictive Text Entry MSc & ICY Software Workshop, Spring term 2019-20 Seyyed Shah and Uday Reddy Assigned: Tuesday 5 February Intermediate deadline : parts 1 and 2, Tuesday 12th February, 2:00pm Final Deadline : all parts, Monday 19th February, 2:00pm. As usual, include in your submission: 1. appropriate comments and JavaDoc. 2. thorough
PROBLEM 1: Match-making [50points] For the first portion of this problem, you will implement a simple version of our game Ochos Locos. For this simplified version, there will be three players. The rules of the game are as follows: Basic Rules of the game Ochos Locos Setup: ¡ì The game starts with a shuffled deck
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金融优化方法 作业 1:投资组合优化:平均方差和 MAD 截止日期:2020 年 2 月 17 日， 星期四，下午 5 时(17:00)，通过电子学习 2020 年 2 月 3 日 这项作业是从上一个实验课程(第 3 周)开始的。 从 Learn 下载以逗号分隔的值文件 all.csv。看看它(例如使用 Excel):它包含 7 个主要股市指数的 月度收盘价，分别是道琼斯，富时(英国)，CAC(法国)，达克斯(德国)，日经，恒指(香港) ， BOVESPA(巴西)以及从 2008 年 1 月到 2016 年 1 月的 8 年黄金的月度价格。 您的任务是实现各种项目组合优化模型，并在此数据上对其进行测试并比较结果。 1. 均方差模型。 (a) 可以使用 Matlab 函数 csvread 读取数据文件 all.csv。查看此功能的帮助页面，有一些 选项可以跳过您应使用的第一行和第一列。您应该以 97 行(从
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Math 248: Computers and Numerical Algorithms Homework, Spring 2020 1. Change your working directory to your Flash drive, and enter the following Matlab program (call it adding.m): x = input(’Enter a value for x \n’); y = input(’Enter a value for y \n’); z=x+y; % computes the sum fprintf(’The sum of x and y is
— HOMEWORK ASSIGNMENT 2 /* * NOTES: * * – Type your SQL statements between the START and END tags for each * question, as shown in the example. Do not alter this template .sql file * in any other way other than adding your answers. Do not delete the * START/END tags. The .sql
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AAers/vagrant/work/received-2019/to-be-uploaded/2020-
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