strategic-jp's repositories
Modeling-Suicidal-Ideation-Growth-Trajectory-An-Application-of-a-Growth-Mixture-Model-to-Add-Health
The objective of the study is to quantify longitudinal trajectories of groups (classes) of past-year suicide ideation and to explore the association between covariates and class membership in these trajectories from adolescence into young adulthood. In the study, the heterogeneity of longitudinal trajectories of suicide ideation groups of individuals will be identified. In addition, the relationship between covariates and each latent class will be estimated. Primary research areas include identifying the number of classes and longitudinal group differences of suicide-related thought and behavior.
Clustering_RFM_Coustomer-Segmentation
- Dimensional reduction was applied by applying PCA - Rescale mean and standard deviation with StandardScaler - Log transformation is performed for even distribution between individual clusters
PowerBI
PowerBI Report
Regression
Bivariate Regression
RegressionTree_BikesharingDemand
When using linear regression models and regression trees, we observe changes in predictive performance. For regression trees, predictive models are designed using Random Forest, GBM, XGBoost, and LightGBM.
Scenario-Based-SQL-Queries
Scenario Based SQL Queries
strategic-jp
Config files for my GitHub profile.