[⇐] [syllabus] [me] [zoom] [materials.zip] [groups] [class form]
Reading | Slides | Solutions | ||
---|---|---|---|---|
2023-01-09 | Mon. | [introduction] | ||
Wed. | 01. Machine Learning I | [machine learning I] [handout] | [handout01] | |
2023-01-16 | Mon. | [MLK Day] | ||
Wed. | 02. Machine Learning II | [machine learning II] [handout] | [handout02] | |
2023-01-23 | Mon. | 03. Text Analysis I | [notebook03] | |
Wed. | 04. Text Analysis II | [notebook04] | ||
2023-01-30 | Mon. | [Workshop] | ||
Wed. | [Project 1] | |||
2023-02-06 | Mon. | 05. Local Models: KNN | [knn] | [notebook05] |
Wed. | 06. Local Models: GBM | [gbm] | [notebook06] | |
2023-02-13 | Mon. | [Day of Data] | ||
Wed. | 07. G-Scores | [gscore] | ||
2023-02-20 | Mon. | [Workshop] | ||
Wed. | [Project 2] | |||
2023-02-27 | Mon. | 08. Unsupervised Learning I | [dimred] | [notebook08] |
Wed. | 09. Unsupervised Learning II | [notebook09] | ||
2023-03-06 | Mon. | [Spring Break] | ||
Wed. | [Spring Break] | |||
2023-03-13 | Mon. | 10. Exploratory Analysis | ||
Wed. | 11. Topic Models | [lda] | [notebook11] | |
2023-03-20 | Mon. | [Workshop; NBA shots] | ||
Wed. | [Project 3] | |||
2023-03-27 | Mon. | 12. APIs and JSON | [json data] | [notebook12] |
Wed. | 13. JSON and API Examples | [http] | [notebook13] | |
2023-04-03 | Mon. | 14. API Iteration Examples | [notebook14] | |
Wed. | 15. XML and XPath | [notebook15] | ||
2023-04-10 | Mon. | 16. Building a Corpus | ||
Wed. | [no class] | |||
2023-04-17 | Mon. | [Workshop] | ||
Wed. | [Project 4]; [Self-Eval] |