Python代写代考 - Page 441 of 482

代写 math matlab python graph software Math 104B Final Project ∗ Instructor: Xu Yang

程序代写 CS代考 / math, matlab代写代考, Python代写代考, software

Math 104B Final Project ∗ Instructor: Xu Yang General Instructions: Please write your homework papers neatly. You need to turn in both your codes and descriptions on the appropriate runs you made by following TA’s instructions. Write your own code, individually. Do not copy codes! Consider the following partial differential equation (PDE): a(x,y)(uxx +uyy)=f(x,y), Domain: […]

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代写 math matlab python statistic COMP0040 – Assignment 2

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COMP0040 – Assignment 2 Scaling Laws, Dependency and Causality 1 Overview This assignment is focused on (i) Scaling and Multiscaling, and (ii) Dependency and Causality. It is part of feedback for the preparation of final report. 2 Data The data set is the same as for Assignment 1. You can also include other currencies and

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代写 algorithm html python scala Spark INF553 Foundations and Applications of Data Mining Spring 2019

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INF553 Foundations and Applications of Data Mining Spring 2019 Assignment 3 Deadline: Mar. 19th 11:59 PM PST 1. Overview of the Assignment In Assignment 3, you will complete two tasks. The goal is to let you be familiar with MinHash, Locality Sensitive Hashing (LSH), and different types of collaborative-filtering recommendation systems. The dataset you are

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代写 matlab python 第七届“泰迪杯”数据挖掘挑战赛——

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第七届“泰迪杯”数据挖掘挑战赛—— A 题:通过机器学习优化股票多因子模型 Fama 通过分析美国市场几十年的数据发现，美国股市绝大部分可以被市值、估值以及市场收益 3 个因子解释，并因此获得了 2013 年诺贝尔经济学奖。Fama 的工作开启了通过因子化分析股市获取超额收益的先河，此后学术界及业界不断地寻找其他能获取超额收益的因子及其组合和风险控制的方式。在我国，基于财务因子(比如市盈率、市值等)及长周期的量价因子(比如月度反转、月度成交量等)为主要因子的传统多因子模型在 A 股市场曾经获得过较为稳健的超额收益，但是由于 A 股市场存在明显的风格切换(比如 2017 年下半年从传统的小市值风格切换到只有极少数大市值股票上涨，而绝大部分股票下跌的风格)，传统多因子模型的稳定性及有效性受到了较大的考验。相比传统的线性多因子模型，机器学习算法能够通过对因子的非线性表达，捕捉到更加精细的市场信号，获取较为稳健的超额收益。根据2016年1月1日至2018年9月30日我国A股市场的数据(数据提取方式见附录 2)，筛选出各大类股票因子中较优的子因子。在此基础上，分析不同的机器学习算法对提升这些因子的等权重线性模型表现的优劣，并使用“Auto-Trader 策略研究回测引擎”进行策略回测(初始资金为 1000 万元整，手续费为双边千分之 3，每月月初调仓)。可以从以下角度入手进行分析: (1) 利用Auto-Trader中各大类因子(见附录3)的日频数据(数据提取方式见附录4)，分别做单因子策略研究和绩效分析，挑选出使得年化夏普比率(Sharpe ratio)最优的各个大类的因子。 (2) 基于机器学习算法对 (1) 中挑选的因子，进行增强，利用 2016 年 1 月 1 日至 2018 年 9 月 30

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代写 python Monte Carlo

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Monte Carlo (a) Implement rejection sampling in Python 3 by editing the rejection_sampled_expectation function in the provided rejectionSampling.py. The function should compute and return the expectation of the provided function f on the provided target distribution using rejection sampling. The rejectionSampling.py file contains an example monte_carlo_expectation function, and main function that will automatically test your

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代写 algorithm math python software Lancaster University

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Lancaster University MSCI 517: Introduction to Python Coursework III (60% of module) Deadline: 22/3/19, 10AM Lent Term Maximum Marks: 100 1 Coursework Description This coursework is composed of two parts. You have been given the flexibility to structure the code in the way that you think is best following the principles of re-usability, maintainability, information

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代写 algorithm Java python theory Due by Mar 29, 2019 [11:59 pm]

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Due by Mar 29, 2019 [11:59 pm] 1 Theory I: A “warm up” problem 5 points CSE 353 – Homework I Dr. Ritwik Banerjee Consider instances of X drawn from the uniform distribution D on [−1, 1]. Let f denote the actual labeling function mapping each instance to its label y ∈ {−1, 1} with

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代写 C algorithm Scheme math python graph software MATH6005

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MATH6005 2018-19 1. Instructions MATH6005 Final Assignment Your Assignment 3 should consist of three files (a “.py” file, a “.pdf” file and a “.csv” file) submitted electronically via Blackboard. This assignment will count for 80% of the assessment for MATH6005. The deadline is 16:00 on Friday 29th March 2019. This applies to all files. The

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