R语言代写

R语言经常用于统计, 金融, 经济, 机器学习等课程的Lab, assignment和project.

CS 131 Project 1 Brewin Interpreter

Introduction In this project, you will be implementing a simple interpreter for a new programming language, called Brewin. Brewin is an object-oriented variant of the LISP language. You guessed it – that means there are lots of parentheses! :^) You¡¯ll be implementing your interpreter in Python. This project is the first of three – in […]

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COMP2300 6300 ENGN2219

ANU School of Computing Lectures Labs Assessments Resources People Policies Help COMP2300/6300/ENGN2219 / Assessments / Checkpoint 2: Assembly Programming Checkpoint 2: Assembly Programming Complete summative tasks in ARM Assembly Microbit and Box On this page Rules and Policies Specification Task 1 -Arrays and Loops (1 Mark) Task 2 -7-Segment Displays (1.5 Marks) Task 3 -Bill

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TDA283 DIT300 Compiler Construction

TDA283 / DIT300 Compiler Construction Project Overview The project has three parts: a frontend for the Javalette language (Part A), a backend with code generation for LLVM (Part B), and extensions to the compiler (Part C). The project is to be done individually or in groups of two. A group’s final grade is based on

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CS160 A2 OCaml

CS160 Assignment 2 Due: Monday, May 8th 11:59pm Prerequisites 1. Forthisproject,we’llneedmoredependenciesfromopam.Do: opam install ocamlgraph ppx_hash odoc before starting this project. 2. IfyouareonMacOS,makesuretoinstallGraphvizifyouhaven’talready.Youcandosowithbrew: brew install graphviz On CSIL, Graphviz is already installed. Important Notes 1. Forthisassignment,youareallowedtouseanyofthestandardlibraryfunctionsfromList.You’llfind List.map , List.concat_map , List.fold_right especially helpful. 2. Someofthefunctionsinthisassignmentuselabeledarguments.Makesuretoreaduponhowlabeled arguments work in OCaml. 3. Wehaveprovidedalotofusefuldatastructuresandhelperfunctionsforthisassignment,andhave documented their expected usage. You

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cs585 HW5 ML

Total points: 6 (+1… the total will be capped at 6) This last hw is on supervised machine learning! As you now know, it’s data-related (lots, and lots, and lots of it), after all 🙂 Here is a summary of what you’ll do: on Google’s Colab, train a neural network on differentiating between a cat

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cs585 HW5 Data mining

HW5: Data Mining [tool-based] Total points: 6 Summary: In this homework, you are going to use three UI-based tools (no coding!), to carry out data mining: WEKA, KNIME, RapidMiner (the last two are dataflow-driven!). There are 3 questions you need to answer about linear regression, one using each tool. Description WEKA Start by downloading WEKA,

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UY 221 Project 3 E20 cache simulator

1 Introduction CS-UY 2214 — Project 3 This project represents a substantive programming exercise. Like all work for this class, it is to be completed individually: any form of collaboration is prohibited, as detailed in the syllabus. This project is considered a take-home exam. Before even reading this assignment, please read the E20 manual thoroughly.

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CIS352 Project 3 Smolisp DrRacket

Project 3: Smolisp You will implement Smolisp, a dynamically-scoped subset of Racket that allows using define to define first- order functions. Expressions include literals, variables, let-binding and let*, if, cond, and function calls. Crucially, however, functions may only be invoked by name (i.e., no lambdas allowed), and functions may not return other functions. You will

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COMP6991 22T3 — Solving Modern Programming Problems with Rust

COMP6991 – 22T3 COMP6991 Final Exam Getting Started Create a new directory for this lab called exam_final, change to this directory, and fetch the provided code for the exam by running these commands: $ mkdir exam_final $ cd exam_final $ 6991 fetch exam Or, if you’re not working on CSE, you can download the provided

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