Assignments

Assigned readings and labs will be posted to this page on a weekly basis.

Week 1

Slides:

• Lecture 1: Course Welcome and Intro
• Lecture 2: Linear Regression I

Assigned Reading:

• HOML Ch. 1 (1.1 - 1.4)

Supplementary Reading

• Get Started with TidyModels - Section 2.

Lab:

• Link to .Rmd

Week 2

Slides:

Lecture 1: Model Process and Ridge Regression

Lecture 2: Lab 2 - Linear Regression II

Assigned Reading:

• HOML Ch. 2
• HOML Ch. 4 (4.2-4.5)
  • Review of basic regression. Feel free to skim this a bit if you feel good about your understanding of linear regression.

Supplementary Reading

• Tidy Models in R Ch. 3 (3.3-3.5)
  • Intro to Tidy Modeling. Provides some context for Lab 1 and beyond.

Lab:

• Link to .Rmd

Discussion:

• Download discussion template here
• Download discussion data here
• Download completed discussion here

Week 3

Slides:

• Lecture: Classification and Logistic Regression

Assigned Reading:

• HOML Ch. 5, HOML Ch. 6

Lab:

• Demo

  • Demo key

• Assignment

Discussion:

• Download completed discussion here

Week 4

Slides:

• Lecture: KNN and Decision Trees

Assigned Reading:

• HOML Ch. 8, HOML Ch. 9

Lab:

• Link to .Rmd

Discussion:

• Download discussion template here
• Download discussion data here
• Download completed discussion here

Week 5

Slides:

• Lecture: Guest Lecture

Assigned Reading:

• HOML Ch. 8, HOML Ch. 9 (continued from last week)

Lab:

• Demo key

• Assignment

Discussion:

• Download discussion template here
• Download discussion data here
• Download completed discussion here

Week 6

Slides:

• Lecture: Bagging and Random Forests

Assigned Reading:

• HOML Ch.10, HOML Ch.11

Lab:

• Demo
• Demo Data
• Demo Key

Discussion:

• Download discussion template here
• Download discussion data here
• Download completed discussion here

Week 7

Slides:

• Lecture: Boosted Trees
• Lab: Variables and Hyperparameters

Assigned Reading:

• HOML Ch. 12

Lab:

• Assignment

• Elith et al. 2008

Discussion:

• Download discussion template here
• Download discussion data here
• Download completed discussion here

Week 8

Slides:

• Lecture: Clustering

Assigned Reading:

• HOML Ch. 20, HOML Ch. 21

Lab:

• Demo/Assignment
  • Completed demo

Discussion:

• Download discussion template here
• Download discussion data here
• Download completed discussion here

Week 9

Slides:

• Lecture: Support Vector Machines

Assigned Reading:

• HOML Ch. 14

Lab:

• Demo

  • Key

• Assignment

  • Metadata

Discussion:

• No discussion this week

Week 10

Slides:

• Lecture: Guest Lecture
• Lecture: Deep Learning
  • Demo code

Assigned Reading:

• HOML Ch. 13

Lab:

• Link to join Kaggle competition

Discussion:

• Download discussion data here
• Download completed discussion here