Weekly Content
| Week | Title | Subtitle |
|---|---|---|
| 1 | Course Intro | |
| 2 | About ML & Modelling | EDA Review |
| 4 | Classification | Decision Tree |
| 5 | Classification | Random Forest |
| 6 | Classification | Naive Bayes |
| 7 | Classification | K-Nearest Neighbors |
| 8 | Regression | Linear Regression |
| 9 | QZ #1 | 29 Oct (Tue) 09:00-10:50 |
| 10 | Regression | Non-linear Regression |
| 11 | Unsupervised Learning | Clustering |
| 12 | Unsupervised Learning | Pattern Finding |
| 13 | Model Improvement | Enhancing Predictive Performance with Model Evaluation |
| 14 | NLP Tidytext in R | PBL team meeting |
| 15 | QZ #2 | 10 Dec (Tue) 09:00-10:50 |
| 16 | Project presentation | 17 Dec (Tue) 09:00-10:50 |
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