Schedule
The schedule below is a tentative outline of our plans for the module.
Before each class period, please watch the indicated videos and check on your understanding by actively reviewing the associated Learning Objectives. The readings listed below are optional but serve as a nice complement to the videos and class activities. Readings refer to chapters/sections in the Introduction to Statistical Learning (ISLR) textbook (available online here).
| Week 1: 3/18 - 3/19 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 3/18 | Introductions | ISLR: Chap 1, Chap 2 - Section 2.1 (Skip 2.1.2, 2.1.3 for now.) | |||
| 3/19 | Evaluating Regression Models |
Evaluating Regression Models ISLR: 2.2 |
PDF |
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| Homework 1 due Friday, 3/26 at midnight CST | |||||
| Week 2: 3/22 - 3/25 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 3/22 | Overfitting and Cross-validation |
Overfitting Cross-validation ISLR: 5.1 |
PDF |
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| 3/23 | Subset Selection |
Variable Subset Selection ISLR: 6.1 |
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| 3/24-3/25 | LASSO (Shrinkage/Regularization) |
LASSO (Shrinkage/Regularization) ISLR: 6.2 |
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| Homework 1 due Friday, 3/26 at midnight CST | |||||
| Week 3: 3/29 - 4/1 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 3/29 | KNN Regression and the Bias-Variance Tradeoff |
KNN Regression and the Bias-Variance Tradeoff ISLR: 2.2.2 for the bias-variance tradeoff; 3.5 for KNN regression |
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| 3/30 | Modeling Nonlinearity: Polynomial Regression and Splines |
Modeling Nonlinearity: Polynomial Regression and Splines ISLR: 7.1-7.4 |
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| 3/31 | Local Regression and Generalized Additive Models |
Local Regression and Generalized Additive Models ISLR: 7.6-7.7 |
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| 4/1 | Review: Regression | ||||
| Homework 2 due Friday, 4/2 at midnight CST | |||||
| Week 4: 4/5 - 4/8 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 4/5 | Quiz 1 (no class - complete quiz on your own) | ||||
| 4/6 | Logistic Regression |
Logistic Regression ISLR: 4.1 - 4.3 |
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| 4/7 | Evaluating Classification Models | Evaluating Classification Models | |||
| 4/8 | Decision Trees |
Decision Trees ISLR: 8.1 |
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| Homework 3 due Friday, 4/9 at midnight CST | |||||
| Week 5: 4/12 - 4/15 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 4/12 | Wellness Day (no class) | ||||
| 4/13 | Decision Trees (continued) | ||||
| 4/14 | Bagging and Random Forests |
Bagging and Random Forests ISLR: 8.2 |
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| Homework 4 due Friday, 4/16 at midnight CST | |||||
| Week 6: 4/19 - 4/22 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 4/19 | Quiz 2 (no class - complete quiz on your own) | ||||
| 4/20 | K-Means Clustering |
K-Means Clustering ISLR: 10.3.1 |
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| 4/21 | Hierarchical Clustering |
Hierarchical Clustering ISLR: 10.3.2 |
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| 4/22 | Asynchronous work day | ||||
| Homework 5 due Thursday, 4/29 at midnight CST | |||||
| Week 7: 4/26 - 4/29 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 4/26 | Wellness Day (no class) | ||||
| 4/27 - 4/28 | Principal Components Analysis |
Principal Components Analysis ISLR: 10.2 |
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| 4/29 | Asynchronous work day | ||||
| Homework 5 due Thursday, 4/29 at midnight CST | |||||
| Week 8: 5/3 - 5/5 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 5/3 | Quiz 3 (no class - complete quiz on your own) | ||||
| 5/4 - 5/5 | Asynchronous work days | ||||
| Final Project due Friday, 5/7 at midnight CST | |||||