stxupengyu Goto Github PK
Name: Pangyu
Type: User
Bio: stay doing, stay thinking.
Location: Beijing, China
Name: Pangyu
Type: User
Bio: stay doing, stay thinking.
Location: Beijing, China
将2003年非典(SARS)时期的**股市数据与对应事件放在股价变化图上,进行分析。
2021年研究生数学建模竞赛B题,全国二等奖,空气质量预报二次建模,时间序列数据分析与回归预测。Time Series Prediction&Air Quality Prediction.
Time series prediction with ARIMA, to predict the price. A simple example. 使用ARIMA对价格序列进行预测(R语言)。
使用AIC准则进行参数选择,之后采用ARIMA模型进行时间序列预测,最后给出残差图。The AIC criterion is used to select the parameters, and then ARIMA model is used to predict the time series. Finally, the residual diagram is given.
Part of the solutions about 《Bayesian Computation with R》(Jim Albert)
使用BP神经网络、RBF神经网络以及PSO优化的RBF神经网络进行数据的预测
使用bp神经网络预测电力负荷,使用小型数据集,通过一个简单的例子。Using BPNN to predict power load, using small data set, a simple example.
Using back propagation neural network(BPNN) to forecasting the price. 使用R语言实现BP神经网络回归预测。
使用中文情感词汇本体库进行情感分析,之后对每种情感的文本进行主题分析。Using Chinese Sentiment Dictionary for Sensitive Analysis, Then applying LDA Topic Analysis for each Emotion.
使用基于情感词典的情感分析方法对评论信息进行情感分析。The Sentiment Analysis Method based on Sentiment Dictionary is used for Comment Information.
实现对信贷数据的数据预处理,数据分析。之后利用多种分类算法对公司是否违约进行预测。Realize the data preprocessing and data analysis of credit data. Then, it uses a variety of classification algorithms to predict whether the company defaults.
Unofficial implement of LEAP(Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective) for Multi-Label Classification.
计量经济学的实例分析包括多元回归分析,多重共线性,对数回归,虚拟变量分段线性回归,多项式拟合以及时间序列。The case analysis of econometrics includes multiple regression analysis, multicollinearity, logarithm regression, piecewise linear regression of dummy variable, polynomial fitting and time series.
针对一维时间序列数据,采用GMM和K-Means算法进行异常点检测。For one-dimensional time series data, GMM and K-means algorithm are used to detect outliers.
使用灰色系统理论做负荷预测。Using Grey System Theory to Make Load Forecasting
Using 5 models(lasso,elastic net,KernelRidge, boosting, xgboost) to predict the housing price
根据60个特征,70万条数据预测5G用户,一个典型的不平衡二分类问题。According to 60 features, 700000 pieces of data predict 5G users, a typical imbalance problem.
使用LDA模型进行中文文本的主题生成。Using LDA Model for Chinese Topic Generation.
使用LDA模型提取n个句子的主题,并统计每个主题出现的频次。LDA model is used to extract the topic of N sentences, and the frequency of each topic is counted.
My practice of LeetCode.
Using linear regression to predict sales volume
Using logistic regression to predict bear market probability
使用logistic回归预测违约事件,实现变量选择。
The code for our paper "Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification”
使用LSTM解决分类问题。Using LSTM to solve classification problems.
使用LSTM对股票价格进行回归预测,对股价涨跌进行分类预测。We use LSTM to forecast the stock price and classify the rise and fall of the stock price.
Using LSTM to forecast stock return
Using Matrix Factorization/Probabilistic Matrix Factorization to solve Recommendation。矩阵分解进行推荐系统算法。
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.