I2SL

Hands-on labs and learning materials for the Book "An Introduction to Statistical Learning with Applications in R", but in Python!

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Lecture-Slides		Lecture-Slides
data		data
images		images
Chapter_01_Introduction.ipynb		Chapter_01_Introduction.ipynb
Chapter_02_Statistical_Learning.ipynb		Chapter_02_Statistical_Learning.ipynb
Chapter_03_Linear_Regression.ipynb		Chapter_03_Linear_Regression.ipynb
Chapter_04_Classification.ipynb		Chapter_04_Classification.ipynb
Chapter_05_Resampling_Method.ipynb		Chapter_05_Resampling_Method.ipynb
Chapter_06_Linear_Model_Selection_and_Regularization.ipynb		Chapter_06_Linear_Model_Selection_and_Regularization.ipynb
Chapter_07_Model_Beyond_Linearity.ipynb		Chapter_07_Model_Beyond_Linearity.ipynb
Chapter_08_Tree_Based_Methods.ipynb		Chapter_08_Tree_Based_Methods.ipynb
Chapter_09_Support_Vector_Machine.ipynb		Chapter_09_Support_Vector_Machine.ipynb
Chapter_10_Unsupervised_Learning.ipynb		Chapter_10_Unsupervised_Learning.ipynb
LICENSE		LICENSE
README.md		README.md