Serendipity-55428 / ECM5094_Machine-Learning-

NCTU [2020] Pro.簡仁宗 機器學習

ECM5094_Machine-Learning-HW

This is Machine learning HW in 2020 fall semester in NCTU. Teaching by prof.簡仁宗

Including

• 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.

Reference Github

thanks for their brilliant cintributions

https://github.com/JessiKuo/NCTU_ML

https://github.com/PinYuan/NCTU_ML

ALERT!

• 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.