Date  Notes 
20190115 
Class 01: Statistical Learning
[solutions01.pdf]
Installing R 
20190117 
Class 02: Simple Linear Regression
[solutions02.pdf]
[class02.Rmd] 
20190122 
Class 03: Matrix Computations and Multivariate Regression
[solutions03.pdf] 
20190124 
Class 04: Normal Equations
[class04.Rmd]
[solutions04.pdf]
[class04solutions.html] 
20190129 
no class 
20190131 
Class 05: Singular Value Decomposition
[class05.Rmd]
[solutions05.pdf]
[class05solutions.html]

20190205 
EXAM I
[takehome question] 
20190206 
Class 06: Ridge Regression.
[class06.Rmd]
[solutions06.pdf]
[class06solutions.html] 
20190212 
Class 07: Lasso Regression.
[class07.Rmd]
[class07solutions.html]
[solutions07.pdf]

20190214 
Class 08: Text Analysis
[class08.Rmd]
[class08solutions.html]
[solutions08.pdf]

20190219 
Class 09: Logistic Regression
[supplementary derivation]
[class09.Rmd]
[class09solutions.html]
[solutions09.pdf]

20190221 
Class 10: More Text Prediction
[class10.Rmd]
[class10solutions.html]

20190226 
EXAM II
[takehome question]
[takehome code] 
20190228 
Class 11: Splines and KNN
[lab11.Rmd]

20190228 
[Finish and submit lab11.Rmd]

20190307 
Class 12: Dimensionality and GAMS
[lab12.Rmd]

20190319 
Class 13: Trees
[lab13.Rmd]
