Course Notes and Assignments

Spring 2019
Tuesdays & Thursdays, 09:00-10:15
JSPN G24

Instructor: Taylor Arnold
E-mail: tarnold2@richmond.edu
Office: Jepson Hall, Rm 218
Office Hours: See below
Syllabus: STAT389_Syllabus.pdf

GitHub Classroom: Information and links
Office Hours: Make an appointment
Piazza Site: View and post questions
DateNotes
2019-01-15 Class 01: Statistical Learning
[solutions01.pdf]
Installing R
2019-01-17 Class 02: Simple Linear Regression
[solutions02.pdf]
[class02.Rmd]
2019-01-22 Class 03: Matrix Computations and Multivariate Regression
[solutions03.pdf]
2019-01-24 Class 04: Normal Equations
[class04.Rmd]
[solutions04.pdf]
[class04-solutions.html]
2019-01-29 no class
2019-01-31 Class 05: Singular Value Decomposition
[class05.Rmd]
[solutions05.pdf]
[class05-solutions.html]
2019-02-05 EXAM I
[take-home question]
2019-02-06 Class 06: Ridge Regression.
[class06.Rmd]
[solutions06.pdf]
[class06-solutions.html]
2019-02-12 Class 07: Lasso Regression.
[class07.Rmd]
[class07-solutions.html]
[solutions07.pdf]
2019-02-14 Class 08: Text Analysis
[class08.Rmd]
[class08-solutions.html]
[solutions08.pdf]
2019-02-19 Class 09: Logistic Regression
[supplementary derivation]
[class09.Rmd]
[class09-solutions.html]
[solutions09.pdf]
2019-02-21 Class 10: More Text Prediction
[class10.Rmd]
[class10-solutions.html]
2019-02-26 EXAM II
[take-home question]
[take-home code]
2019-02-28 Class 11: Splines and KNN
[lab11.Rmd]
2019-02-28 [Finish and submit lab11.Rmd]
2019-03-07 Class 12: Dimensionality and GAMS
[lab12.Rmd]
2019-03-19 Class 13: Trees
[lab13.Rmd]