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代写Python:机器学习Python or matlab代做实现Coursework specification for - Python代写
发布时间:2021-07-25 15:12:40浏览次数:
ExperimentsDevelop a complete analysis pipeline in a programming language / environment of your choice. Note that kaggle provides substantial support for this and you could even run the experiments on the kaggle site.Demonstrators will provide support for Python (or other language such as Matlab) implementations. However, it is strongly recommended that you attempt the challenge using Python. Relevant Python resources are listed at the end of this document.The objective of the analysis is to predict survivors of the Titanic disaster from the given data as accurately as possible.There are no limitations with regards to the modelling approach, that is, you are free to explore (and report) as many methods, and their results, as you wish. The minimum requirement though is that you analyze the dataset with a random forest classifier.You will report the results of your experiments through prediction, that is, classification accuracies with regard to correctly predicted survival rates.Note that you are NOT required to submit your solution to the official kaggle competition.ReportYour report will need to provide documentation about your analysis experiments.In a brief introduction you will set the scene by describing the problem area. You will need to provide an overview of the dataset that you are analysing through an appropriate visualisation of the data. This will also help you exploring the dataset during your experiments.Following the introduction, you will describe the methods you have used. At the very least you will need to provide an explanation of the random forest classifier that you will implement as a benchmark. You are encouraged to explore different classifiers. Summarise every method you have used for your experiments in the methods section. Results should be reported using appropriate evaluation measures, on the test set.Remember to only use the provided training dataset for model estimation.In the discussion section you will reflect upon your findings and contextualise this with the original task thereby linking back to the real- world problem (e.g., Would you have embarked on the Titanic if you were part of passenger category X?).SubmissionThe following needs to be submitted by 16:00 16th December 2017 (through NESS):●A pdf document containing your report (see format and structure specificationsabove).●A zipped folder containing the code for your analysis in a runnable format. This should allow us to run your code and verify your results. The code itself will not bemarked. MarkingAs a guide your grade will be broken down as follows:●Introduction 10%●Methods 25%●Results 20%●Discussion 25%●Conclusion 10%●Quality of writing 10%Additional Information●Kaggle Titanicchallenge:Software●iPython notebook comes highly recommended to install on your own computer these links may be useful toyou: Anaconda Python distribution:https://www.continuum.io/downloads Once Anaconda has been installed, python can be run innotebooks (iPython – interactive python) usingJupyter.Jupyter Install: https://jupyter.readthedocs.org/en/latest/install.html代写CS Finance|建模|代码|系统|报告|考试编程类:C++,JAVA ,数据库,WEB,Linux,Nodejs,JSP,Html,Prolog,Python,Haskell,hadoop算法,系统 机器学习金融类:统计,计量,风险投资,金融工程,R语言,Python语言,Matlab,建立模型,数据分析,数据处理服务类:Lab/Assignment/Project/Course/Qzui/Midterm/Final/Exam/Test帮助代写代考辅导E-mail:[email protected]微信:BadGeniuscs 工作时间:无休息工作日-早上8点到凌晨3点如果您用的手机请先保存二维码到手机里面,识别图中二维码。如果用电脑,直接掏出手机果断扫描。

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