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1. Time-Series_Superstore-Sales-Forecasting Time-Series_Superstore-Sales-Forecasting Public

   Time series forecasting of superstore furniture sales using SARIMA (SAS PROC ARIMA), with Python preprocessing

   Jupyter Notebook

2. ORNL-Poplar-Phenotyping-Analysis ORNL-Poplar-Phenotyping-Analysis Public

   Growth curve modeling, heritability analysis, and predictive ML (biomass, early RGB-based detection) on ORNL Advanced Plant Phenotyping Laboratory poplar data.

   Jupyter Notebook

3. DGAN-SoftDTW-Postprocessing DGAN-SoftDTW-Postprocessing Public

   Post-processing framework for GAN-generated synthetic time series using Soft-DTW alignment and ARMA-based statistical evaluation.

   Python

4. Predicting-Reading-Proficiency-from-Library-Funding Predicting-Reading-Proficiency-from-Library-Funding Public

   Predicting school reading proficiency from public library funding, staffing, and demographics using Lasso, Ridge, Random Forest, and XGBoost (test R² = 0.74).

   TeX

5. Credit-Card-Fraud-Detection-ML Credit-Card-Fraud-Detection-ML Public

   Detecting fraudulent credit card transactions in a highly imbalanced dataset (0.17% fraud rate) using Logistic Regression, Random Forest, and XGBoost, with SMOTE for class balancing and SHAP for in…

   Jupyter Notebook