“社交媒体情感分析”是一个研究人们在社交媒体上所说的话，并找出他们是感觉积极、消极还是中立的项目。它有助于了解Twitter或Facebook等平台上的公众意见和趋势，这对于企业、组织或研究人员做出更好的决策非常有用。
"Social Media Sentiment Analysis" is a project that looks at what people say on social media and figures out if they re feeling positive, negative, or neutral. It helps understand public opinions and trends on platforms like Twitter or Facebook, which can be useful for businesses, organizations, or researchers to make better decisions. (2024-05-12, Others, 0KB, 下载0次)
这一深入的市场篮子分析贯穿了一个完整的项目周期，旨在提取企业可以实施的有价值的见解，使其能够扩展。从数据预处理，到探索性数据分析，关联规则挖掘，解释和见解，以及建议。这个项目是为了解决这些问题而制定的。
This in-depth market basket analysis goes through a complete project cycle towards extracting valuable insights that the business can implement allowing them to scale. From preprocessing the data, to exploratory data analysis, association rule mining, interpretation and insights, and recommendations. This project was made to tackle these problems. (2023-11-18, Python, 0KB, 下载0次)
此GitHub存储库托管全面的人力资源消耗分析报告，为组织内的员工流动趋势提供有价值的见解。该报告包括深入的统计分析、数据可视化和可操作的建议，以帮助人力资源专业人员和企业领导者做出明智的决策，减少人员流失。
This GitHub repository hosts a comprehensive HR attrition analysis report, providing valuable insights into employee turnover trends within an organization. The report includes in-depth statistical analysis, data visualizations, and actionable recommendations to help HR professionals and business leaders make informed decisions to reduce attrition. (2023-10-25, Others, 0KB, 下载0次)
此存储库托管使用Power BI创建的动态、有洞察力的销售仪表板的代码和资源。销售仪表板提供销售数据的详细视图，帮助您做出数据驱动的决策，跟踪绩效，并确定关键趋势。它是为寻求最大化销售和收入的企业而设计的
This repository hosts the code and resources for a dynamic and insightful Sales Dashboard created using Power BI. The Sales Dashboard provides a detailed view of your sales data, helping you make data-driven decisions, track performance, and identify key trends. It is designed for businesses seeking to maximize sales and revenue (2023-10-17, Others, 0KB, 下载0次)
项目基于先进的BERT模型,旨在解决社交媒体上的个性化信息分析难题。随着社交媒体数据的爆发增长,我们利用BERT的语义理解能力,提供情感分析和文本分类功能。这个平台可以帮助个人、企业和政府机构更好地理解用户需求,提供个性化推荐和决策支持。,
Based on the advanced BERT model, the project aims to solve the problem of personalized information analysis on social media. With the explosion of social media data, we use BERT s semantic understanding ability to provide emotional analysis and text classification functions. This platform can help individuals, enterprises and government agencies better understand user needs and provide personalized recommendation and decision support., (2023-09-23, Python, 0KB, 下载0次)
实时电子商务数据收集和处理项目通过有效地提取、处理和存储来自多个来源的电子商务数据，为企业提供实时见解。结合Golang和Python，该尖端解决方案简化了来自各种电子商务网站的数据处理。
The Real-time Ecommerce Data Collection and Processing project empowers businesses with real-time insights by efficiently extracting, processing, and storing ecommerce data from multiple sources. Combining Golang and Python, this cutting-edge solution streamlines data handling from diverse ecommerce websites. (2023-08-04, Python, 0KB, 下载0次)
CSRBOX数据分析实习的目标是为实习生提供将数据分析技术应用于企业社会责任（CSR）领域的真实项目的实践经验。实习生将在项目工作中获得数据收集、清理、分析、可视化和报告方面的实用技能
The objective of the Data Analytics internship at CSRBOX is to provide interns with hands-on experience in applying data analytics techniques to real-world projects in the field of corporate social responsibility (CSR). Interns will gain practical skills in data collection, cleaning, analysis, visualization, and reporting, while working on projects (2023-07-30, Jupyter Notebook, 0KB, 下载0次)
数据描述：手头的数据包含具有某些属性的人的医疗成本。领域：医疗保健环境：利用客户信息对大多数企业来说至关重要。在保险公司的情况下，像下面提到的客户属性在做出业务决策时可能是至关重要的。因此，知道...
Data Description: The data at hand contains medical costs of people characterized by certain attributes. Domain: Healthcare Context: Leveraging customer information is paramount for most businesses. In the case of an insurance company, attributes of customers like the ones mentioned below can be crucial in making business decisions. Hence, (2020-12-15, HTML, 0KB, 下载0次)
更新中（速度较慢）：大数据+AI的实用框架，每一步都有成就感！手把手实战（一步步/大量注释/操作配图），如企业画像（Spark+NLP）、推荐系统（Spark+GBDT/LR）、实时数仓（Flink）等，以实战学技术。
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Practical projects of BigData and AI, updating slowly: A practical framework for big data and AI, with a sense of achievement in every step! Hands-on practical combat (step by step with a large number of annotated operations and graphics), such as enterprise portrait (Spark+NLP), recommendation system (Spark+GBDT LR), real-time data warehouse (Flink), etc., to learn technology through practical combat, (2023-01-03, Others, 12231KB, 下载0次)
Churn是电信行业面临的最大挑战之一。我们如何预测潜在的客户流失以留住客户，对于每一家电信和服务型公司来说都至关重要。基于机器学习模型，我们可以分析所有相关的客户数据，并制定有针对性的客户保留策略，以减少客户流失的财务损失。
Churn is one of the biggest challenges in the telecom industry. How can we
predict potential churn to retain customers is vital for every telecom and
service-oriented companies. Based on machine learing models, we can analyze
all relevant customer data and develop focused customer retention pragrams to
reduce the finacial loss of customer churn.
, (2023-02-08, HTML, 1462KB, 下载0次)
对分别添加了椒盐噪声（密度为0.03）和高斯白噪声（均值为0，方差为0.03）的cameraman.tif图像，利用三种方法进行去噪，计算去噪前后图像的峰值信噪比，显示原始图像、加噪图像和去噪图像，并对实验结果进行分析。
When salt and pepper noise (density 0.03) and Gauss white noise (mean 0, variance 0.03) are added, respectively cameraman.tif Image, using three methods to denoise, calculate the peak signal-to-noise ratio of the image before and after denoising, display the original image, plus noise image and denoise image, and analyze the experimental results. (2020-06-12, matlab, 541KB, 下载4次)
一般来说信号中都是带有信号的，特别是信号的采集过程中，在接收端除了获取目标信号外还会引入噪声。常见的噪声包括高斯白噪声，通常我们在处理噪声时都将噪声假设为高斯白噪声。因此在信号做进一步处理之前需要将有效的信号提取出来。以下为高斯背景噪声。
Generally speaking, signals are with signals, especially in the process of signal acquisition, in addition to acquiring the target signal at the receiving end, noise will also be introduced. Common noises include white Gauss noise, which is usually assumed to be white Gauss noise when dealing with noise. Therefore, effective signals need to be extracted before further processing. The following is Gauss background noise. (2019-01-08, matlab, 503KB, 下载5次)
改进了一种基于贝叶斯算法的短信过滤算法.首先介绍了短信特征选取，包括预处理、特征项选取、权重表示；在贝叶斯文本分类算法基础上做出改进，详细讲述了如何对短信样本预处理、特征项选取、提高分类正确率的方法，并且通过测试实验成功得出结果.
Improved algorithm based on Bayesian filtering algorithm first introduced the SMS text messaging feature selection, including preprocessing, feature item selection, weight representation . Make improvements Bayesian text classification algorithm based on a detailed account of how SMS sample pretreatment, feature items to improve the classification accuracy of the method, and the success of the outcome by testing laboratories. (2016-12-05, Java, 120KB, 下载5次)
提出一种基于直接数据域最小二乘方法的自适应多波束形成算法,包括前向计算、后向计算和前-
后向计算。利用天线阵元输出复电压的单快拍数据构建矩阵方程,采用共轭梯度法求解得到阵列的自适应权值向
量,从而在所有期望信号方向形成接收波束,同时在各干扰方向形成深零陷,使信干噪比显著提高。由于只需对单
快拍数据进行处理,并且避免了样本协方差矩阵的构造及矩阵求逆运算,故计算复杂度较传统算法低。
An adap tive multip le beamforming algorithm based on D3LS ( direct data domain least squares) app roach is
p resented in this paper, including forward p rocedure, backward p rocedure and forward2backward p rocedure. A single snap2
shot data of the comp lex voltagesmeasured at array elements is used to form the matrix equation, which is solved with the
conjugate gradientmethod to obtain the adap tive weight vector of array. Finally, beams are formed along the DOAs ( direction
of arrival) of SO Is ( signal of interest) and deep nullings are made along the DOAs of interferences to imp rove the SINR ( sig2
nal2to2interference2p lus2noise ratio) greatly. The p roposed algorithm has a lower computation comp lexity than conventional al2
gorithms as it p rocesses only a single snap shot data as opposed to forming the samp le covariance matrix and performingmatrix
inversion operation. (2013-07-09, PDF, 316KB, 下载58次)
清华附中有四位同学中的一位做了好事，不留名，表扬信来了之后，校长问这四位是谁做的好事。
A说：不是我。
B说：是C。
C说：是D。
D说：他胡说。
已知三个人说的是真话，一个人说的是假话。现在要根据这些信息，找出做了好事的人。
Tsinghua University High School, one in four students to do a good thing, not leaving a letter of commendation to the principal asked the four who do good. A: not me. B: C C: D D: He nonsense. Known that the three men was telling the truth, a person says is a lie. Based on this information, find good people. (2013-03-25, Visual C++, 1KB, 下载5次)
一个可读的介绍，针对企业用户谁想要一个明确的，非技术的技术和数据挖掘功能的概述。一个有价值的教育工具，包括本公约所涵盖的令人振奋的新technology.Topics潜在用户的数据描述，数据挖掘，预测数据挖掘，数据挖掘模型和算法，数据挖掘过程中，选择数据挖掘产品。
A readable introduction aimed at business users who want a clear, non-technical overview of the techniques and capabilities of data mining. A valuable educational tool for prospective users of this exciting new technology.Topics covered include Data Description for Data Mining, Predictive Data Mining, Data Mining Models and Algorithms, The Data Mining Process, and Selecting Data Mining Products. (2012-05-18, Windows_Unix, 202KB, 下载4次)
：针对动力学方程未知且信噪比小的光混沌信号，采用小波多分辨分解算法对其进行噪音消
减．用Lorenz混沌信号对该算法的消噪效果进行了检验．提出利用互信息量法和Cao氏法来改进
小数据量法在时间延迟和嵌入维数计算上存在的主观选择性，对经过噪音消减的Lorenz混沌信号
利用此改进的小数据量法计算其最大Lyapunov指数．结果表明，信噪比可提高近10 dB左右，最
大Lyapunov指数计算误差可减少近30 ，并求得半导体放大器光混沌信号的最大Lyapunov指
数为0．389 6．
The wavelet multi—resolution decomposition algorithm was used for reducing noise of optical
chaos signals with dynamic equation unknown and low SNR．The algorithm was verified by Lorenz chaotic
signa1．The mutual information algorithm and Cao method were used to reduce the suhj ective in computing
the delay time and embedding dimension when applying the small data method to compute the largest
Lyapunov exponent．The largest lyapunov exponent of the de—noised chaos signal was calculated with this
improved method．The result shows that the SNR is increased by about 1 0 dB，and the error of the largest
Lyapunov exponent is reduced by 30 ．The largest Lyapunov exponent of the optical chaos signal 0．389 6
is obtained with this method． (2010-04-24, Others, 380KB, 下载18次)
Gambit用户使用说明书(中文版)。 Gambit是CFD商用软件Fluent的前处理软件，主要作用是建立网格模型。其功能非常强大，可以建立各种几何体，然后在几何体上面划分网格和设立边界条件，最后将生成的网格文件导入Fluent中进行计算。同时，它也可以导入在CAD、Solid works、Pro/e等几何建模软件中生成的复杂几何图形，然后对其进行网格划分，建立网格模型。 本教程主要针对Fluent初学者学习使用。主要对Gambit主面板上各键的功能与使用进行了简介，讲述了如何建立点、线、面和体，以及如何在生成的几何图形上划分简单网格。 对于Gambit初学者来说，看完这部教程后，便能掌握Gambit的初步使用。 (2008-05-02, Visual C++, 592KB, 下载13次)
http://www.pudn.com/Download/item/id/450778.htmlGambit指导书使用说明(中文版)。 Gambit是CFD商用软件Fluent的前处理软件，主要作用是建立网格模型。其功能非常强大，可以建立各种几何体，然后在几何体上面划分网格和设立边界条件，最后将生成的网格文件导入Fluent中进行计算。同时，它也可以导入在CAD、Solid works、Pro/e等几何建模软件中生成的复杂几何图形，然后对其进行网格划分，建立网格模型。 本教程主要针对Fluent初学者学习使用。主要对Gambit主面板上各键的功能与使用进行了简介，讲述了如何建立点、线、面和体，以及如何在生成的几何图形上划分简单网格。 对于Gambit初学者来说，看完这部教程后，便能掌握Gambit的初步使用。 (2008-05-02, Visual C++, 2129KB, 下载25次)
http://www.pudn.com/Download/item/id/450777.htmlGambit建模指南中文教程。 Gambit是CFD商用软件Fluent的前处理软件，主要作用是建立网格模型。其功能非常强大，可以建立各种几何体，然后在几何体上面划分网格和设立边界条件，最后将生成的网格文件导入Fluent中进行计算。同时，它也可以导入在CAD、Solid works、Pro/e等几何建模软件中生成的复杂几何图形，然后对其进行网格划分，建立网格模型。 本教程主要针对Fluent初学者学习使用。主要对Gambit主面板上各键的功能与使用进行了简介，讲述了如何建立点、线、面和体，以及如何在生成的几何图形上划分简单网格。 对于Gambit初学者来说，看完这部教程后，便能掌握Gambit的初步使用。 (2008-05-02, Visual C++, 2468KB, 下载67次)
http://www.pudn.com/Download/item/id/450776.html