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

Gradient descent optimizer built from scratch in R - 92.46% accuracy on credit balance prediction, converges in 4,906 iterations

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

SDS course assignments

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

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.

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

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.

A Recalibrated Hypothesis Test for SNP-Level Summary Statistics

Project on Regression Model, Cross Validation, and Decision Tree

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