ISL04_classification

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Exercises from James G., Witten D., Hastie T., Tibshirani R. (2013) Classification. In: An Introduction to Statistical Learning. Springer Texts in Statistics, vol 103. Springer, New York, NY. doi: https://doi.org/10.1007/978-1-4614-7138-7_4
- If Github fails to render all Mathjax in notebooks (*.ipynb), preview on nbviewer
Python+numpy implementations of logistic regression, LDA and QDA
Slides for Statistical Learning Meeting 003, preview on Binder (Why does it take so long?)
- If markdown cells are "undefined", simply rerun the cell (Ctrl + Enter)

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
data		data
.gitignore		.gitignore
3.0_classification slides.pdf		3.0_classification slides.pdf
3.0_classification.ipynb		3.0_classification.ipynb
3.1_implement-logreg.ipynb		3.1_implement-logreg.ipynb
3.2_implement-lda-qda.ipynb		3.2_implement-lda-qda.ipynb
3.3.1_ex1-9_conceptual.ipynb		3.3.1_ex1-9_conceptual.ipynb
3.3.2_ex10_weekly.ipynb		3.3.2_ex10_weekly.ipynb
3.3.3_ex11_auto.ipynb		3.3.3_ex11_auto.ipynb
3.3.4_ex12_power.ipynb		3.3.4_ex12_power.ipynb
3.3.5_ex13_boston.ipynb		3.3.5_ex13_boston.ipynb
README.md		README.md
environment.yml		environment.yml
postBuild		postBuild
util.py		util.py

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