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]
[lab12solutions.html]

20190319 
Class 13: Trees
[lab13.Rmd]
[lab13solutions.html]

20190321 
Class 14: Images
[lab14.Rmd]
[lab14solutions.html]

20190326 
Class 15: Dense Neural Networks
[lab15.Rmd]
[lab15solutions.html]

20190328 
Class 16: Training Neural Networks
[lab16.Rmd]
[solutions16.pdf]
[lab16solutions.html]

20190402 
Class 17: Dense Neural Networks for Image Data
[lab17.Rmd]
[lab17solutions.html]

20190404 
Class 18: Regularizing and Training Dense Neural Networks
[lab18.Rmd]
[lab18solutions.html]

20190409 
EXAM III
[take home only; no class; exam due April 11]
[exam03.Rmd]

20190411 
Class 19: Towards Convolutions
[LeNet]
[lab19.Rmd]

20190416 
Class 20: Transfer Learning I
[lab20.Rmd]
[lab20solutions.html]

20190418 
Class 21: Transfer Learning II

20190423 
Final Project Workshop

20190424 
Final Project Due (5pm) instructions
Data processing example

20190425 
EXAM IV
[takehome questions] 
20190425 
Final Project Presentations [Attendance required!] 