There are my projects for the 2021 Spring Machine Learning course at the National Taiwan University (NTU)
Course Web : https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html
Instructor: Hung-yi Lee
Note :
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All of the projects run on Jupter Notebook(.ipynb ), remember to adjust the environment setting ( Colab drive mount, file directory... ) before you use it
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To get the source data, you can reference the content in each project file or the slide of each project introduction on course web
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I mainly focus on understanding the concept and the implementation of the related models, you can further enhance the result by adjusting model architecture/parameters yourself : )
| Num | Topic | Model | Public Score | Private Score |
|---|---|---|---|---|
| 1 | COVID-19 Cases Prediction | Regression | 0.89477 | 0.91152 |
| 2 | Phoneme Classification | Classification | 0.74934 | 0.74925 |
| 3 | Food Classification | CNN | 0.82437 | 0.81829 |
| 4 | Speaker Classification | Self-Attention | 0.95595 | 0.95333 |
| 5 | Neural Machine Translation | Transformer | N/A | N/A |
| 6 | Anime Face Generation | GAN | N/A | N/A |
| 7 | Question Answering | BERT | 0.82723 | 0.82979 |
| 12 | Lunar Lander | Reinforcement Learning | N/A | N/A |
- Score is the test result from the opened kaggle platform, N/A means the test platform is not opened to non NTU students, reference the kaggle info on course web
- You can see more info and learning keywords in the corresponding project page