Aeg0n9's Stars
xai-org/grok-1
Grok open release
heygsc/xiaoheihe-literature
黑盒圣经&皮特弹幕
cswangyuhui/TextCategorization
北邮王晓茹老师数据挖掘与数据仓库文本数据的分类与分析实验
worldbank/ietoolkit
Stata commands designed for Impact Evaluations in particular, but also data work in general
jackfrued/Python-100-Days
Python - 100天从新手到大师
tboudart/Financial-Markets-Regression-Analysis
My role in this group project was to perform regression analysis on quarterly financial data to predict a company's market capitalization. I used R to develop ordinary least squares (OLS), stepwise, ridge, lasso, relaxed lasso, and elastic net regression models. I first used stepwise and OLS regression to develop a model and examine its residual plots. The plot displaying the residuals against the predicted values indicated multiplicative errors. I, therefore, took the natural log transformation of the dependent variable. The resulting model's R2 was significantly, negatively impacted. After examining scatter plots between the log transformation of market capitalization and the independent variables, I discovered the independent variables also had to be transformed to produce a linear relationship. Using the log transformation of both the dependent and independent variables, I developed models using all the regression techniques mentioned to strike a balance between R2 and producing a parsimonious model. All the models produced similar results, with an R2 of around .80. Since OLS is easiest to explain, had similar residual plots, and the highest R2 of all the models, it was the best model developed.
arlionn/stata
连玉君老师的stata程序、讲义和培训资料
worldbank/stata
Stata Commands for Data Management and Analysis
Aurorahyz/stata-
一个自用的stata实证分析的代码，大多都是学习过程整合的，方便之后自己做实证用。