Schedule

Unless otherwise stated, please submit assignments as a PDF to Canvas.

Note: course schedule is subject to change.

Date	Description	Class materials	Assignments	Due date
		WEEK 1
T 02/14	Welcome!	Class introduction, intro to base R
R 02/16	What is statistical learning?	What is statistical learning?
F 02/17	Lab day	More R coding, GitHub Desktop installation	Lab 01: Roulette	02/23 at 11:59pm
		WEEK 2
T 02/21	What is statistical learning? (cont.)	What is statistical learning?
R 02/23	Linear regression	Slides: Linear regression Live code
F 02/24	Linear regression (cont.) Lab day		Lab 02: Moneyball	03/02 at 11:59pm
		WEEK 3
T 02/28	KNN regression	Slides: KNN regression	KNN pseudocode	03/02 in class
R 03/02	KNN regression: implementation	Live code: Writing functions	KNN group pseudocode (steps 1-2)	03/03 in class
F 03/03	KNN: implementation		KNN group implementation (step 3)	03/06 11:59pm
		WEEK 4
T 03/07	KNN regression (pt. 2)	Slides Live code: encoding	KNN regression: categorical features	03/09 11:59pm
R 03/09	Validation	Slides Live code: LOOCV
F 3/10	Lab 03: Validation	Live code: lists	Lab 03: ski resorts	03/16 11:59pm
		WEEK 5
T 03/14	Regression trees (part 1)	Slides Live code: binary recursive split
R 03/16	Regression trees (part 2)	Slides Live code: pruning
F 03/17	NO CLASS	Work on Lab 04!	Lab 04: forest fires	03/30 11:59pm
		SPRING BREAK
		WEEK 6
T 03/28	Introduce midterm Bootstrap	Slides	Bootstrap implementation	03/29 11:59pm
R 03/30	Project introduction Bagging	Project description Slides	Bagging implementation Live code from class	Ungraded
F 03/31	Bagging (cont.) + Random forests	Slides Live code: randomForest	Midterm: computational assignment	04/02 11:59pm
		WEEK 7
T 04/04	Bayes classifier + Logistic regression	Slides Live code: fitting logistic regression	Please e-mail about project partners!
R 04/06	Model Assessment + KNN classification	Slides Live code: fitting logistic regression	Please e-mail about project partners!
F 04/07	KNN implementation		KNN classification implementation	04/11 11:59pm
Sa 04/08	Project	Last day to pick group
		WEEK 8
T 04/11	Imbalanced data + Validation	Live code
R 04/13	Project	Slides + instructions for merge conflict activity Project proposal	Lab 05: Wagga Wagga rain	04/20 11:59pm
F 04/14	NO CLASS	Spring symposium
		WEEK 9
T 04/18	Classification trees	Slides Worksheet building trees
R 04/20	Classification tree (cont.)	Slides Live code
F 04/21	Implementation		Bagged classification trees	04/27 11:59pm
Su 04/23	Project		Proposal due	Tonight 11:59pm
		WEEK 10
T 04/25	Project		Project plan	04/30 at 11:59pm
R 04/27	K-means clustering	Slides
F 04/28	K-means clustering (cont.)	Slides (cont.) Live code
Su 04/30			Plans due	Tonight 11:59pm
		WEEK 11
T 05/02	Project
R 05/04	Hierarchical clustering	Slides Live code	K-means implementation	05/15 11:59pm
F 05/05	Clustering (cont.)
Su 05/07	Project		Draft due!	11:59pm
		WEEK 12
T 05/09	Project	Peer review for drafts Course response forms
R 05/11	Project		Report + Repo + Slides	Tonight 11:59pm
F 05/12		Project presentations!