代写Java小程序: Finding customer clusters at the Telco

There can be no extensions to this date. All assignments forthis subject for this semester MUST be submitted by the 29th March. No Exceptions.Previously, management have been quite directed about what they were looking for and what theywanted to predict. Now, they are asking you what kind of things can be ‘discovered’ from the data.In particular they are interested in whether there are any kind of natural groupings that exist withintheir customer base.You have access to the same data as Assignment 1.Your goal is to find and explain any natural grouping you find within the data. You only need toconcentrate on finding one explainable way to group customers, and then explain that grouping inbusiness terms.Deliverables:Your final deliverables will be 2 PDF files, both produced by the same .Rmd script (with differentcode chunk options). You must submit:PDF1 - all code and results shown (like you would share with a colleague on the Data Science team)PDF2 - only show those things necessary to help support management decision making (this is theone you send to management!)These will both be submitted online through Turnitin.Guidance:? Documento Focus on a good document structure and layout (revisit week 2 on repeatableresearch)o Hint: Think about the headings in the document you produce? Focus on letting the visualizations do the talking. Only include explanatory text where it isreally necessary… although you should remember that management do not reallyunderstand data science, so you will need to find a tradeoff between understandability andverbosity. Verbose assignments will be penalized.o You will need to use visualizationso You will need to explain at least 1 of the clusters - and it must be useful from abusiness perspectiveNote:As is the case with all assignments I set, if you do the minimum (correctly), then you will receive halfmarks. Additional marks are awarded for those assignments where you have clearly put inadditional thought, whether it be in visualization, modelling, succinctness, or coding elegance.  本团队核心人员组成主要包括硅谷工程师、BAT一线工程师,国内Top5硕士、博士生,精通德英语!我们主要业务范围是代做编程大作业、课程设计等等。 我们的方向领域:window编程 数值算法 AI人工智能 金融统计 计量分析 大数据 网络编程 WEB编程 通讯编程 游戏编程多媒体linux 外挂编程 程序API图像处理 嵌入式/单片机 数据库编程 控制台 进程与线程 网络安全  汇编语言 硬件编程 软件设计 工程标准规等。其中代写代做编程语言或工具包括但不限于以下范围:C/C++/C#代写Java代写IT代写Python代写辅导编程作业Matlab代写Haskell代写Processing代写Linux环境搭建Rust代写Data Structure Assginment 数据结构代写MIPS代写Machine Learning 作业 代写Oracle/SQL/PostgreSQL/Pig 数据库代写/代做/辅导Web开发、网站开发、网站作业ASP.NET网站开发Finance Insurace Statistics统计、回归、迭代Prolog代写Computer Computational method代做 微信:codinghelphttp://www.6daixie.com/contents/9/1270.htmlhttp://www.6daixie.com/contents/9/1270.html

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