DANL 320: Big Data Analytics, Spring 2026

  • Instructor: Byeong-Hak Choe ( Email)

Welcome! πŸ‘‹

\(-\) Explore, Learn, and Grow with Data Analytics! 🌟

πŸš€ Lecture

Title Subtitle Date
Lecture 1 Syllabus and Course Outline January 21, 2026
Lecture 2 Linear Regression January 26, 2026
Lecture 3 Logistic Regression February 11, 2026
Lecture 4 K-fold Cross-Validation; Bias-Variance Trade-off; Regularized Regression February 25, 2026
No matching items

πŸ““ ML Notebook

Title Subtitle Date
Linear Regression I Bikeshare Data February 8, 2026
Linear Regression II Orange Juice Data February 8, 2026
Logistic Regression Newborn Babies February 11, 2026
Regularized Logistic Regression Car Safety Inspection March 2, 2026
Regularized Linear Regression Online Shopping March 4, 2026
Regularized Logistic Regression Hockey Player Evaluation March 9, 2026
No matching items

⌨️ Classwork

Title Subtitle Date
Classwork 1 Markdown Basics January 23, 2026
Classwork 2 Linear Regression I February 4, 2026
Classwork 3 Linear Regression II February 4, 2026
Classwork 4 Logistic Regression I February 18, 2026
Classwork 5 Logistic Regression II - Quasi-Separation & Regularization February 23, 2026
Classwork 6 Regularized Linear Regression β€” Online Shopping March 4, 2026
Classwork 7 Regularized Logistic Regression β€” Hockey Player Evaluation March 9, 2026
No matching items

πŸ’» Homework

Title Subtitle Date
Homework 1 Linear Regression Β· Quarto Blogging February 27, 2026
Homework 2 Regression Β· Quarto Blogging March 9, 2026
Homework 3 Lasso Linear Regression March 3, 2026
No matching items
Back to top