Week

 Monday

 Wednesday

 Thursday

 Friday

 1

Room: OW 217
Topic: Introduction
Read: The syllabus and ISL Ch. 1 and 2.1
Class Notes

Room: OW 217
Topic: Review of Probability and Random Variables
Read: ISL 2.2
Class Notes

Room: OW 217
Topic: Review of Expectation, Variance and SD
Read: ISL 2.2
Class Notes

Room: BH 126
Topic: Intro to R/Python with Jupyter
Opening Jupyter
R version of HW1
Python version of HW1

 2

Room: OW 217
Topic: Notation for reality and our model
Read: ISL Ch. 2.2
Class Notes

Room: OW 217
Topic: Bias-Variance Decomposition
Read: ISL 2.2
Class Notes

Room: OW 217
Topic: Linear Regression, kNN, Bias-Variance Decomposition` `
Read: ISL 2.2
Class Notes

Room: BH 126
Topic: Linear Regression
R version of HW2
Python version of HW2

 3

Room: OW 217
Topic: Training a Linear Regression Model
Read: ISL Ch. 3
Class Notes

Room: OW 217
Topic: Training a Logistic Regression Model
Read: ISL 4
Class Notes

Room: OW 217
Topic: LDA, QDA and kNN for classification` `
Read: ISL 4
Class Slides
Class Notes

Room: BH 126
Topic: Training Models
R version of HW3
Python version of HW3

 4

Room: OW 217
Topic: Selecting and assessing a model
Read: ISL 5
Class Notes

Room: OW 217
Topic: Example of Model Selection and Assessment
Read: ISL 5
Class Notes

Room: OW 217
Topic: TBA `
Read:

Room: BH 126
Topic: the lab is open but dr. O is away

 5

Room: OW 217
Topic: Ridge Regression
Read: ISL 6
Class Notes
More Notes

Room: OW 217
Topic: Comparison of Linear models with kNN, p close to n
Read: ISL 6
Class Notes

Room: OW 217
Topic: LASSO and the shooting algorithm `
Read: ISL 6
Class Notes

Room: BH 126
Topic: Model Comparisons
R version of HW4
Python version of HW4

 6

Room: OW 217
Topic: Penalized Regression and Splines
Read: ISL 7
Class Notes

Room: OW 217
Topic: Review for Midterm
Read: Practice Midterms in Blackboard
Class Notes

Room: OW 217
Topic: Midterm `

Room: BH 126
Topic: HW 4 from last week

 7

Room: OW 217
Topic: Generalized Linear Models
Read: ISL 7
Class Notes

Room: OW 217
Topic: Generalized Linear Models
Read: ISL 7
Class Notes

Room: OW 217
Topic: Decision Trees and Random Forests
Read: ISL 8
Class Notes `

Room: BH 126
Topic: Decision Trees, Random Forests and Splines
R version of HW5
Python version of HW5

 8

Room: OW 217
Topic: Support Vector Machines.
Read: ISL 9
Class Notes

Room: OW 217
Topic: Unsuperivsed Learning: Clustering via. K-means
Read: ISL 10
Class Notes

Room: OW 217
Topic: Dimension Reduction via PCA
Read: ISL 10
Class Notes `

Room: BH 126
Topic: SVM and Unsupervised Learning
R version of HW6
Python version of HW6

 9

Room:
Topic: Holiday!

Room: OW 217
Topic: Introduction to Neural Networks
Read: ISL 10
Class Notes

Room: OW 217
Topic: Training Neural Nets and Ensemble Learning
Read: ESLII 8.7, 8.8, 10
Class Notes `

Room: BH 126
Topic: Neural Nets and Emsemble Learning
R version of HW7
Python version of HW7

 10

Room: OW 217
Topic: Review: question translate, data cleaning
Class Notes

math 361 surveys

Room: OW 217
Topic: Review: understanding a dataset
Class Notes

Room: OW 217
Topic: Review: training, choosing, assessing and reporting a model
Class Notes `

Room: BH 126
Topic: Review: methods table and practice final