Data Science and Machine Learning
Field Course (1060): Schedule and Resources
| Date | Topic | Content Details | Resources | |
|---|---|---|---|---|
| 2026-10-02 | Coding Setup | VS Code / Git / Quarto | π₯οΈ πΎ π | |
| 2026-10-09 | Databases and APIs | Parquet / DuckDB / SQL / REST APIs | π₯οΈ πΎ πΎ | |
| 2026-10-16 | Webscraping | HTML / CSS / JavaScript / Rvest / Selenium | π₯οΈ π πΎ π | |
| 2026-10-30 | Assignment I | Presentations | ||
| 2026-11-06 | Data Visualization | Tufteβs Principles / Grammar of Graphics / Observable / Vega-Lite | π₯οΈ π | |
| 2026-11-13 | Introduction Machine Learning I | Decision Tree Learning / Performance Measurement | π₯οΈ π | |
| 2026-11-20 | Introduction Machine Learning II | Cross Validation / Caret | π₯οΈ π | |
| 2026-12-04 | Assignment II | Presentations | ||
| 2026-12-11 | Natural Language Processing | Text Mining / Naive Bayes / Support Vector Machine / Ollama / Hugging Face | π₯οΈ | |
| 2026-12-18 | TBD | TBD | ||
| 2027-01-08 | Assignment III | Presentations | ||
| 2027-01-15 | Exam | Pen and Paper | π |