Course Work at UIUC

Statistics

STAT 432 (Fall 2018): Basics of Statistical Learning [Link to repository]
STAT 430 (Fall 2018): Machine Learning in Finance [Link to the repository]
STAT 510 (Fall 2018): Mathematical Statistics I [no repository]
STAT 425 (Fall 2018): Applied Regression and Design [Link to the repository]
STAT 428 (Fall 2018): Statistical Computing [Link to the repository]
STAT 590 (Spring 2019): Independent Study / Research [no repository; refer "Applications of machine learning and deep learning in finance" in this section]
STAT 430 (Spring 2019): Data Science Programming Methods [no repository; course project in intersection of deep learning and astronomy; see Astronomy section below]
STAT 426 (Spring 2019): Sampling and Categorical Data Analysis [Link to the repository]
STAT 542 (Fall 2019): Statistical Learning [Link to the repository]

Astronomy (yes, you read it right!)

ASTR 596 (Spring 2019): AI and Big Data in Astronomy [Link to the repository] [STAT 430 project]
ASTR 510 (Fall 2019): Computational Astrophysics [Link to the repository; got several new ideas; will write a blog shortly]

Industrial Engineering

IE 534 (Fall 2019): Deep Learning [Link to the repository]