Stat 243: Statistical Learning
  • Home
  • Syllabus
  • Office Hours

    Statistical Learning

    Stat 243 Reed College, Fall 2026

    Week 1

    Monday, Aug 31

    Course Introduction
    Slides

    Wednesday, Sep 2

    Activity
    Slides

    Friday, Sep 4

    Lab 1: Intro
    Lab 1 Lab Instructions

    Readings

    • Join Slack
    • Gradescope course entry code: 68V7B3

    Week 2

    Monday, Sep 7

    No Class: Holiday

    Wednesday, Sep 9

    Assessing Accuracy
    Slides

    Friday, Sep 11

    Linear Models I
    Slides

    Readings

    • For Wednesday: Read this blog post and Section 2.2 (through 2.2.2, but not beyond) of ISLR.
    • For Friday: ISLR Chapter 3.1

    Week 3

    Monday, Sep 14

    Linear Models II
    Slides

    Wednesday, Sep 16

    Linear Models III
    Slides

    Friday, Sep 18

    Lab 2: Linear Models IV (and Quiz I)
    Slides Lab 2

    Readings

    • For Monday: none
    • For Wednesday: Read ISLR Chapters 3.2 and 3.3
    • For Friday: none

    Week 4

    Monday, Sep 21

    Linear Models V
    Slides

    Wednesday, Sep 23

    Cross Validation
    Slides

    Friday, Sep 25

    Lab 3: Linear models and cross validation (and Quiz 2)
    Lab 3

    Readings

    • For Monday: none
    • For Wednesday: ISLR Chapter 5.1
    • For Friday: none

    Week 5

    Monday, Sep 28

    The Bootstrap
    Slides

    Wednesday, Sep 30

    Feature selection and model comparison
    Slides

    Friday, Oct 2

    Lab 4: Regression Competition (and Quiz 3)
    Lab 4

    Readings

    • For Monday: ISLR Chapter 5.2
    • For Wednesday: ISLR Chapter 6.1
    • For Friday: none

    Week 6

    Monday, Oct 5

    Penalized Regression: ridge
    Slides

    Wednesday, Oct 7

    Penalized Regression: LASSO
    Slides

    Friday, Oct 9

    Lab 5: Penalized Regression (and Quiz 4)
    Lab 5 Project Groups Project Description and Timeline

    Readings

    • For Monday: ISLR Chapter 6.2.1
    • For Wednesday: ISLR Chapter 6.2.2
    • For Friday: none

    Week 7

    Monday, Oct 12

    Regression Competition
    Slides

    Wednesday, Oct 14

    kNN (Grayson out, Lenny sub)
    Slides

    Friday, Oct 16

    Quiz 5

    Readings

    • For Monday: none
    • For Wednesday: ISLR 2.2.3
    • For Friday: none

    Week Fall Break

    Saturday, Oct 17 - Sunday, Oct 25

    No Class

    Readings

    • None this week

    Week 8

    Monday, Oct 26

    Logistic Regression I (Grayson out, Lenny sub)
    Slides

    Wednesday, Oct 28

    Logistic Regression II
    Slides

    Friday, Oct 30

    Lab 6: kNN and Logistic Regression

    Readings

    • For Monday: ISLR Chapter 4.1, 4.2, 4.3
    • For Wednesday: Review ISLR Chapters 4.1, 4.2, 4.3
    • For Friday: none

    Week 9

    Monday, Nov 2

    Regression Trees I

    Wednesday, Nov 4

    Regression Trees II

    Friday, Nov 6

    Lab 7: Trees (and Quiz 6)

    Readings

    • None this week

    Week 10

    Monday, Nov 9

    Bagging

    Wednesday, Nov 11

    Boosting

    Friday, Nov 13

    Lab 8: Ensemble Trees (and Quiz 7)

    Readings

    • None this week

    Week 11

    Monday, Nov 16

    k-Means clustering

    Wednesday, Nov 18

    Hierarchical clustering

    Friday, Nov 20

    Lab 9: Clustering (and Quiz 8)

    Readings

    • None this week

    Week 12

    Monday, Nov 23

    GLMs for counts

    Wednesday, Nov 25

    GLMs for counts

    Friday, Oct 16

    No class: Holiday

    Readings

    • None this week

    Week 13

    Monday, Nov 30

    Linear mixed models

    Wednesday, Dec 2

    Generalized linear mixed models

    Friday, Dec 4

    Project Work Day

    Readings

    • None this week

    Week 14

    Monday, Dec 7

    Selected Topics / Project Presentations

    Wednesday, Dec 9

    Project Presentations

    Readings

    • None this week
    No matching items