统计相关课程非常喜欢R语言, 它有很多统计相关的library, 非常容易使用.
CMDA-2006 Fall 2017 – Exam 2 (Statistics Exam 1) Discussion of the problems with others cannot be prevented on a take-home exam, so feel free to do so. However, your work must still be your own! Outright copying is a violation of the honor code under any testing situation. To discourage any temptation of copying, […]
R语言统计代写: CMDA-2006 Fall 2017 – Exam 2 (Statistics Exam 1 Read More »
######################################################### ############# BTRY/STSCI 4520 ######################## ############# Homework 2 ######################## ############# Due: March 2, 2018 ######################## ######################################################### # Instructions: save this file in the format <NetID>_HW2.R. # Complete each question using code below the question number. # You need only upload this file to CMS. # Note, we assume your working directory contains any files #
R语言代写: BTRY/STSCI 4520 Homework 2 Read More »
— title: “Assignment 11 – Clustering” author: “STUDENT” date: “Due Thursday Nov 30 end of day” output: word_document: default html_document: default — “`{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE,collapse=TRUE) options(width=120) scale_dataframe <- function(DATA,except=NA) { column.classes <- unlist(lapply(DATA,FUN=class)) numeric.columns <- which(column.classes %in% c(“numeric”,”integer”)) if(!is.na(except)) { exemptions <- which( names(DATA) %in% except ) if ( length(exemptions)>0 ) {
R语言机器学习 Clustering代写 Read More »
Project Part 3: A dimension reduction algorithm Andreas Artemiou Due date: 4 May 2018 by 23:59 in Learning Central 1 General purpose of the exercise Write a function(or a set of functions) that performs a dimension reduction on a dataset in a univariate regression or classification setting. 1.1 Procedure of the algorithm First of all
R语言统计机器学习代写 Part 3: A dimension reduction algorithm Read More »
Dataset Details The data set was created from information collected from a Kaggle survey to examine the state of data science and machine learning from the views of more than 16000 individuals from over 171 different countries. The question bank consisted of approximately 200 questions, some questions were asked to all individuals while others were
STT 843 Key to Homework 1 Spring 2018 Due date: Feb. 14, 2018 4.2. (a) Becauseσ =2,σ =1andρ =0.5,wehaveσ =ρ √σ √σ = √ 11 22 12 12 12 11 22 2/2. Then, the mean and covariance of the bivariate normal is 0 √2 √2/2 μ= 2 and Σ= 2/2 1
R语言代写: STT 843 Homework 1 2 Read More »
,Instructions: You must work independently. You may not discuss this project with anyone except the course instructor. The project aims to analyze a real data set using the multivariate analysis methods introduced in our course. You are free to perform any analyses that you consider to be relevant and informative. You may use any software
Exercise 2 Section A. Model Complexity and Model Selection In this section, you study the effect of model complexity on the training and testing error. You also demonstrate your programming skills by developing a regression algorithm and a cross-validation technique that will be used to select the models with the most effective complexity. Background A
R语言机器学习代写: Exercise 2 Section A. Model Complexity and Model Selection Read More »
Reminder: STAT2450 – Final Exam Name: *** , Student ID: B00*** , Email: *** Submit your exam via Brightspace before the deadline 3:00 pm on Sunday, April 8th. ABSOLUTELY NO COLLABORATION FOR THE EXAM! YOU MUST DO EXAM COMPLETELY ON YOUR OWN! Show the outputs and results clearly. Provide the executable R code. Explain your
R语言统计代写: STAT2450 – Final Exam Read More »
STAT7001 STATISTICS FOR PRACTICAL COMPUTING — ASSESSMENT 2 (2017/18 SESSION) Your solutions should be your own work and are to be submitted electronically to the course Moodle page by 12 noon on MONDAY, 23RD APRIL 2018. Ensure that you electronically ‘sign’ the plagiarism declaration on the Moodle page when submitting your work. Late submission will
R语言统计分析代写: STAT7001 STATISTICS FOR PRACTICAL COMPUTING — ASSESSMENT 2 Read More »