zhanggaofeng1120's starred repositories
covid-19-data
A repository of data on coronavirus cases and deaths in the U.S.
RSSHub-Radar
🧡 Browser extension that simplifies finding and subscribing RSS and RSSHub
GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
COVID-19-TweetIDs
The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.
electron-react-redux-boilerplate
A minimal boilerplate to get started with Electron, React and Redux.
covid19_twitter
Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development
Customer_Satisfaction_Analysis
基于在线民宿 UGC 数据的意见挖掘项目，包含数据挖掘和NLP 相关的处理，负责数据采集、主题抽取、情感分析等任务。目的是克服用户打分和评论不一致，实时对在线民宿的满意度评测，包含在线评论采集和情感可视化分析。搭建了百度地图POI查询入口，可以进行自动化的批量查询 POI 信息的功能；构建了基于在线民宿语料的 LDA 自动主题聚类模型，利用主题中心词能找出对应的主题属性字典；以用户打分作为标注，然后 litNlp 自带的字符级 TextCNN 进行情感分析，将情感分类概率分布作为情感趋势，最后通过 POI 热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。
CS224W_Winter2021
CS224W Stanford Winter 2021 Homework solutions
us-pres-elections-2020
The repository contains a collection of tweets IDs associated with the 2020 U.S. Presidential Elections through 6 months post-inauguration.
Learning_CS224w
My approach to CS224w [AT] Stanford 2019 : )
sustech-slides
LaTeX Beamer template for presentations.
Education-Visualization-competition
Tianchi visualizaiton competition
Text-Mining-Sentiment-Analysis
酒店评论情感分析（机器学习、情感词典）
2018_CCF_BDCI_ChinaUnicom_Package_Match_Rank6
联通研究院-面向电信行业存量用户的智能套餐个性化匹配模型_复赛第6名
Social-network-analysis
我们对一个知乎社交网络进行了基础属性、度分布、节点影响力、社区检测等分析操作，得到了一些有趣的结论（补充），发现了知乎社交网络的哪些特性（具体写出来）。之后，我们又做了一个知乎兴趣内容推荐系统，对用户的兴趣偏好进行分析，为用户推荐话题、问题、答主等相关内容，取得了不错的效果。
Application_Materials_For_PhD
This repository contains my CV, personal statement, writing samples, transcripts, test scores, research&work experiences, etc.
Diabetes-Disease-Prediction-using-Classification-Algorithms.
Diabetes Mellitus (TY2) has secured the status of a global pandemic. Thus, the diagnosis of the disease at an early stage plays a very significant role as the early prediction of the disease will minimize the health risks associated with the disease. This projects aims to predict whether a person is diabetic or not via six different classification algorithms namely Support Vector Machine(SVC), K- Nearest Neighbour(Knn), Decision Tree, Naive Bayes, Logistic Regression and Random Forest. Moreover, early prediction of the diabetes disease with a higher accuracy can be found using various machine learning techniques.
complex-data-analysis
Complex Data Analysis course