From Data Science to Learning Machines and Big Data
Course based on ‘The Big R-Book’
Philippe J.S. De Brouwer
updated: 2024-01-04
Course Plan
| Date | AM/PM | Room | Content |
|---|---|---|---|
| 2023-10-02 | 9:15–12:00 | 1093 | agreements: slides |
| 2023-10-09 | 9:15 – 10:45 | 1093 | Introduction: history of innovation and starting with R |
| 2023-10-16 | 9:15 – 12:00 | 1093 | starting with R |
| 2023-10-23 | 9:15 – 12:00 | 1093 | no class |
| 2023-10-30 | 9:15 – 12:00 | Zoom | Automated Reporting and R-Markdown |
| 2023-11-06 | 9:15 – 12:00 | 1093 | building models: linear and logistic regressions in R + performance classification models |
| 2023-11-13 | 9:15 – 12:00 | 1093 | building models: performance classification models |
| 2023-11-20 | 9:15 – 12:00 | 1093 | project based learning |
| 2023-11-27 | 9:15 – 12:00 | 1093 | building models: cross validation |
| 2023-12-04 | 9:15 – 12:00 | 1093 | building models: Machine learning (decision tree + random forest) |
| 2023-12-11 | 9:15 – 12:00 | 1093 | building models: Machine learning (svn + neural networks) |
| 2023-12-18 | 9:15 – 12:00 | 1093 | project based learning or database systems |
| 2024-01-08 | 9:15 – 12:00 | 1093 | ethics in models and data + project based learning |
| 2024-01-15 | 9:15 – 12:00 | 1093 | mock-up exam + feedback + improvement plan |
| 2024-01-22 | 9:15 – 12:00 | HSBC | Exam (your presentations) + (optional) lunch |
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