cs109_Fund_Analytics 主题:共同基金预测分析:课程:CS109 数据科学哈佛大学推广学院 成员: Ashwini Patil ( ) 更多 ( ) Github 存储库: CS109_Fund_Analytics: : 概述和动机:提供项目目标及其动机的概述。 考虑到这将被没有看到您的项目提案的人阅读。 概述:根据短期/长期目标预测最适合投资的共同基金。 分析是对可用的历史回报数据进行的。 我们根据最大的资产管理规模 (AUM) 选择了前 10 名基金家族。 它拥有来自这 10 个基金家族的大约 1277 只基金,包括所有不同的晨星类别,如大型、中型、小型、成长型、混合型、价值型、指数型基金等。数据来源来自 Morningstar.com、雅虎财经。 来自 Morningstar 的数据是使用 Beautiful Soup 和 Pandas rea
2021-07-07 12:03:26 9.32MB CSS
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Adobe Analytics For Dummies
2021-07-03 15:04:45 28.42MB java
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关于捷联惯导的一本很经典的英文著作,适合相关方向的研究生和科研人员使用。此处将本书分为两个部分,均放入压缩包中。
2021-07-02 21:38:19 67.82MB Strapdown an Paul G
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IBM_HR_Analytics_Employee_Attrition_and_Performance:数据分析,用于检测确定并影响员工绩效和人员流失的因素,以便人力资源部门可以采用新的具有成本效益的策略来提高生产力和绩效
2021-06-20 10:09:16 150KB JupyterNotebook
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自述文件 在发布之前获得客户的知情同意。 该项目已为 ALTERMARKETING ( ) 完成。此服务旨在根据所需的 CPC(每次点击费用)和 CR(转化率)管理 Yandex.Direct 出价。 由 Google Analytics 标准报告提供的转化数据。 该服务类似于 direct-auction.ru,但功能得到了显着扩展。
2021-06-11 11:06:02 257KB Java
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RAT(Ricston 分析工具) RAT 是一种工具,可帮助您分析 IT 系统中的数据,以便能够将其用于您的优势。 实时! 它还可以帮助运营团队监控您的 IT 系统。 有关更多详细信息,请访问我们的 wiki 页面。 维基: : 问题: :
2021-06-08 22:03:08 4.24MB Java
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Amazon Kinesis Data Analytics Java示例 用于Kinesis Data Analytics的示例Java应用程序,演示了源,接收器和运算符。 许可证摘要 该示例代码在MIT-0许可下提供。 请参阅许可文件。
2021-06-08 14:25:46 101KB Java
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15.071 倍分析边缘 作业的解决方案 - 分析简介、R 简介
2021-06-05 17:03:39 67.32MB R
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Apress 2019 版 Data is the new oil and unstructured data—especially text, images, and videos—contains a wealth of information. However, due to the inherent complexity in processing and analyzing this data, people often refrain from spending extra time and effort venturing out from structured datasets to analyze these unstructured sources of data, which can be a potential gold mine. Natural language processing (NLP) is all about leveraging tools, techniques, and algorithms to process and understand natural language-based data, which is usually unstructured like text, speech, and so on. In this book, we will be looking at tried and tested strategies—techniques and workflows—that can be leveraged by practitioners and data scientists to extract useful insights from text data.
2021-06-04 09:11:17 17.27MB AI Python Text Analytics
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Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 Apache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples. Once you have taken a tour of Hadoop 3’s latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. You will then move on to learning how to integrate Hadoop with the open source tools, such as Python and R, to analyze and visualize data and perform statistical computing on big data. As you get acquainted with all this, you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases. By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly.
2021-06-03 16:31:01 33.04MB Hadoop Big Data
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