A multi-tissue transcriptional age calculator

Rcpp package implementing automatic smoothing for multiple generalized additive models.

Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets

Implemented ElasticNet Regression, combining L1 and L2 regularization to handle multicollinearity and improve robustness. Evaluated using R² score (~0.64) and residual distribution analysis on real-world housing data.

SDS course assignments

An R package that implements the Hierarchical Feature Regression: a regularized group-shrinkage regression estimator based on supervised hierarchical graphs

A scikit-learn compatible Python package for data-driven group regularized ridge regression

Project on Regression Model, Cross Validation, and Decision Tree

End-to-End Python implementation of Beck et al.'s (2025) economic sentiment analysis framework for constructing a high-frequency economic sentiment indicator using 1024-dimensional Jina embeddings and LLM-generated training data. Features L2-regularized classification and rigorous POOS econometric validation with DM-HAC tests for GDP forecasting.

My coursework and lecture materials from the "Machine Learning" course on Coursera offered by Stanford

A Recalibrated Hypothesis Test for SNP-Level Summary Statistics

HER2-Amplified vs Non-Amplified Breast Cancer Transcriptome Analysis (TCGA BRCA): Differential Expression, Pathway Enrichment, and Lasso-Cox Survival Stratification

Comparing Ridge and LASSO model to find the best accuracy for Home Price Prediction

MODEL: Regularized Regression