Pinned Repositories
AutoXduNCovReport
A tool that reports you COVID-19 information.
books
【编程随想】收藏的电子书清单（多个学科，含下载链接）
cluster-analysis
K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan
kmeans
K Means Clustering with Python
legado
阅读3.0, 阅读是一款可以自定义来源阅读网络内容的工具，为广大网络文学爱好者提供一种方便、快捷舒适的试读体验。
lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
MK_SVM
This is a package implementing MK_SVM with PTM datasets
Multitask_Classification_On_Amazon_Reviews
Due to the popularity of online marketplaces in recent decades, online vendors and merchants now require their customers to provide feedback on what they have purchased. As a result, millions of evaluations are written every day, making it difficult for a potential client to decide whether or not to buy a product. For product makers, analysing many such viewpoints is difficult and time-consuming. This paper compares various machine learning algorithms to solve a multi-task classification problem from text data. The author used machine learning mod- els to predict the ratings of the Amazon reviews and whether the product falls in the video games or musical instrument category. The author used supervised machine learning techniques such as Logistic Regression, Support Vector Machine (SVM), Naive Bayes and Random Forest to conduct this research. The accuracy of the machine learning models was compared to select the best model for the multi-task categorisation issue. Consequently, the SVM technique surpasses all other models in terms of accuracy.
online-svr
Implementation of Accurate Online Support Vector Regression in Python.
SVR
Introduction Support Vector Regression using the Boston Housing data set
imzhaoyang's Repositories
imzhaoyang/AutoXduNCovReport
A tool that reports you COVID-19 information.
imzhaoyang/books
【编程随想】收藏的电子书清单（多个学科，含下载链接）
imzhaoyang/cluster-analysis
K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan
imzhaoyang/kmeans
K Means Clustering with Python
imzhaoyang/legado
阅读3.0, 阅读是一款可以自定义来源阅读网络内容的工具，为广大网络文学爱好者提供一种方便、快捷舒适的试读体验。
imzhaoyang/lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
imzhaoyang/MK_SVM
This is a package implementing MK_SVM with PTM datasets
imzhaoyang/Multitask_Classification_On_Amazon_Reviews
Due to the popularity of online marketplaces in recent decades, online vendors and merchants now require their customers to provide feedback on what they have purchased. As a result, millions of evaluations are written every day, making it difficult for a potential client to decide whether or not to buy a product. For product makers, analysing many such viewpoints is difficult and time-consuming. This paper compares various machine learning algorithms to solve a multi-task classification problem from text data. The author used machine learning mod- els to predict the ratings of the Amazon reviews and whether the product falls in the video games or musical instrument category. The author used supervised machine learning techniques such as Logistic Regression, Support Vector Machine (SVM), Naive Bayes and Random Forest to conduct this research. The accuracy of the machine learning models was compared to select the best model for the multi-task categorisation issue. Consequently, the SVM technique surpasses all other models in terms of accuracy.
imzhaoyang/online-svr
Implementation of Accurate Online Support Vector Regression in Python.
imzhaoyang/SVR
Introduction Support Vector Regression using the Boston Housing data set
imzhaoyang/text-classification-surveys
文本分类资源汇总，包括深度学习文本分类模型，如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Paragraph-Vec、TextCNN、DCNN、RNTN、MV-RNN、RAE等，浅层学习模型，如LightGBM 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集，如MR、SST、MPQA、IMDB、Yelp、20NG、AG、R8、DBpedia、Ohsumed、SQuAD、SNLI、MNLI、MSRP、MRDA、RCV1、AAPD，评价指标，如accuracy、Precision、Recall、F1、EM、MRR、HL、Micro-F1、Macro-F1、P@K，和技术挑战，包括多标签文本分类。
imzhaoyang/TSP
遗传算法、禁忌搜索、模拟退火、蚁群算法
imzhaoyang/WZU-machine-learning-course
温州大学《机器学习》课程资料（代码、课件等）