This project consists of a deep dive on multiple linear regression (OLS) and its regularized variants (Ridge, the Lasso, and the Elastic Net) as well as Python implementations for exploratory data ...

Implement over-sampling for imbalanced data to improve the quality of predictive modeling (i.e., generalizability). Apply regularization and cross-validation techniques for model evaluation, selection ...