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Lecture slides are here
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Data files are in a separate repo, which is added as a submodule in
data
folder. To clone including the submodule, rungit clone --recurse-submodules https://github.com/ssuai/machine_learning.git
Lab 1. Intro to Jupyter notebook
- 2-1. statsmodels version,
- 2-2. scikit-learn version
Lab 3. Classification (Ch. 4)
Lab 4. Resampling methods (Ch. 5)
- The Hitter dataset
- 5-1. subset selection,
- 5-2. ridge regression and lasso
- 5-3. PCR and PLS
- 6-1. PCA
- 6-2. clustering
- 6-3. NCI60 data