This is Machine learning HW in 2020 fall semester in NCTU. Teaching by prof.簡仁宗
- Baysian polynomial regression
- Baysian linear regression
- Cross validation
- Dimension reduction by PCA, LDA
- Classification by fisher criterion
- Logistic regression
- Gaussain process regression
- Gaussain process classification
- SVM classifiaction with linear and polynomial model
I don't know whether this homework is right or not, here is the repository storing homework and project of the cource.
thanks for their brilliant cintributions
- Again, here is only for storing. I'm not responsible for any correctness or legal liability, or even plagiarism.
- I do not have the whole copyright, due to some coding algorithms are came from the "references" and "my friends".
- Datasets are all came from TA.