Stat 608 — Regression Analysis
Multiple, curvilinear, nonlinear, robust, logistic and principal components regression analysis; regression diagnostics, transformations, analysis of covariance.
I build ML models, dashboards, and hardware-to-data projects. Interested in Data Science / ML / Analytics.
Multiple, curvilinear, nonlinear, robust, logistic and principal components regression analysis; regression diagnostics, transformations, analysis of covariance.
Important concepts and techniques in Linear Algebra, Real Analysis, and Differential Equations with an emphasis on problem solving and proofs.
Sensor data → pipeline → analysis/model/visualization.