Shuting Liao's repositories
Time-series-analysis-on-US-Industrial-Production
This project focuses on multivariate time series and thus we mainly use the tests and models, such as VAR and VARX, which can deal with multivariate time series.
Language:Python000
Classification-on-Bank-Marketing-Data-Set-to-predict-client-s-intention-of-a-term-subscription
Before using any models, SMOTE algorithm is used to adjust the imbalanced data. Ensemble methods and SVM are also compared for classification in this data via ROC curve.
Language:R000
Implementation-of-Sparse--Group-Lasso-Methods-on-Gene-Expression-Dataset
To deal with too many predictors in large data set, "sparse-group lasso" is given in group lasso, inferring predictors into different groups and get estimates.
Language:C++000
Language:Jupyter NotebookMIT000