Schedule & Syllabus
The schedule below is a tentative outline of our plans for the module.
Here is the syllabus, current as of Jan. 23, 2023.
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: 1/19 - 1/20 | |||
|---|---|---|---|
| Day(s) | Topic | Readings | |
| 1/19 | Introductions | ISLR: Chap 1, Chap 2 - Section 2.1 (Skip 2.1.2, 2.1.3 for now.) | |
| Week 2: 1/23 - 1/27 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 1/24 | Evaluating Regression Models |
Evaluating Regression Models R: Introduction to TidyModels ISLR: 2.2 |
PDF |
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| 1/26 | Overfitting |
Overfitting R: Pre-processing and recipes |
PDF |
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| Homework 1 due Sunday, Feb 5th at 11:59pm CST | |||||
| Week 3: 1/30 - 2/3 | |||
|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides |
| 1/31 | Cross-validation |
Cross-validation R: Training, testing, and cross-validation ISLR: 5.1 |
PDF |
| 2/2 | Subset Selection |
Variable Subset Selection R: Subset Selection ISLR: 6.1 |
|
| Week 4: 2/6 - 2/10 | |||
|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides |
| 2/7 | LASSO (Shrinkage/Regularization) |
LASSO (Shrinkage/Regularization) ISLR: 6.2 |
|
| 2/9 | Quiz 1 Sec 01 (9:40a) will cover Subset Selection after quiz Sec 02 (1:20p) may leave after quiz |
Quiz 1 study guide and details | |
| Week 5: 2/13 - 2/17 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 2/14 | 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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| 2/16 | Modeling Nonlinearity: Polynomial Regression and Splines |
Modeling Nonlinearity: Polynomial Regression and Splines ISLR: 7.1-7.4 |
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| Homework 2 due Monday, 2/27 at 11:59pm | |||||
| Week 6: 2/20 - 2/24 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 2/21 | Local Regression and Generalized Additive Models |
Local Regression and Generalized Additive Models ISLR: 7.6-7.7 |
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| 2/23 | No class due to inclement weather | ||||
| Homework 2 due Monday, 2/27 at 11:59pm | |||||
| Week 7: 2/27 - 3/3 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 2/28 | Quiz 2 |
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| 3/2 | No class -- MSCS Capstone Days! | Please try and attend at least two talks! Cool machine learning stuff going on! Schedule | |||
| Homework 3 due Monday, 3/27 at 11:59pm | |||||
| Week 6: 3/6 - 3/10 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 3/7 | Logistic Regression/Evaluating Classification Models |
Logistic Regression Evaluating Classification Models ISLR: 4.1 - 4.3 |
Logistic Regression PDF Evaluating Classification Models PDF |
||
| 3/9 | Lasso and Logistic | ||||
| Homework 3 due Wednesday, 3/29 at 11:59pm | |||||
| Week 7: 3/20 - 3/24 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 3/21 | Decision Trees |
Decision Trees ISLR: 8.1 |
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| 3/23 | Quiz 3 Finish Decision Trees |
Study guide | |||
| Homework 3 due Wednesday, 3/29 at 11:59pm | |||||
| Week 8: 3/27 - 3/31 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 3/28 | Bagging and Random Forests |
Bagging and Random Forests ISLR: 8.2 |
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| 3/30 | K-Means Clustering |
K-Means Clustering ISLR: 10.3.1 |
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| Homework 4 due Friday, 4/14 at 11:59pm | |||||
| Week 9: 4/3 - 4/7 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 4/4 | Quiz 4 |
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| 4/6 | Hierarchical Clustering |
Hierarchical Clustering ISLR: 10.3.2 |
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| Homework 4 due Friday, 4/14 at 11:59pm | |||||
| Week 10: 4/10 - 4/14 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 4/11 | Principal Components Analysis |
Principal Components Analysis ISLR: 10.2 |
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| 4/13 | Unsupervised Learning review / Project Work | ||||
|
Homework 5 due Friday, 4/28 at 11:59pm Final Project due Friday, 5/5 at 11:59PM |
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| Week 11: 4/17-4/21 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 4/18 | Quiz 5: Be an ML consultant! | ||||
| 4/20 | Project Work time | ||||
|
Homework 5 due Friday, 4/28 at 11:59pm Final Project due Friday, 5/5 at 11:59PM |
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| Week 12: 4/24 - 4/28 | |||||
|---|---|---|---|---|---|
| Day(s) | Topic | Videos/Readings | Slides | ||
| 4/25 | Project Work time | ||||
| 4/27 | Project Work time | ||||
|
Homework 5 due Friday, 4/28 at 11:59pm Final Project due Friday, 5/5 at 11:59PM |
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