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  1. Time-series-analysis-on-US-Industrial-Production Time-series-analysis-on-US-Industrial-Production Public

    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.

    R 1 2

  2. Implementation-of-Sparse--Group-Lasso-Methods-on-Gene-Expression-Dataset Implementation-of-Sparse--Group-Lasso-Methods-on-Gene-Expression-Dataset Public

    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.

    C++

  3. Classification-on-Bank-Marketing-Data-Set-to-predict-client-s-intention-of-a-term-subscription Classification-on-Bank-Marketing-Data-Set-to-predict-client-s-intention-of-a-term-subscription Public

    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.

    R

  4. shutingliao shutingliao Public

    Jupyter Notebook

  5. BayesianGraph BayesianGraph Public

    Python