jcrouser/islr-python

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islr-python

This project is a python adaptation of the lab example in "Introduction to Statistical Learning with Applications in R" by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.

Some of the original adaptations were produced by J. Warmenhoven, and updated by R. Jordan Crouser at Smith College for SDS293: Machine Learning (Spring 2016).

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jcrouser/islr-python

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
data		data
LICENSE.txt		LICENSE.txt
Lab 10 - Ridge Regression and the Lasso in Python.ipynb		Lab 10 - Ridge Regression and the Lasso in Python.ipynb
Lab 11 - PCR and PLS Regression in Python.ipynb		Lab 11 - PCR and PLS Regression in Python.ipynb
Lab 12 - Polynomial Regression and Step Functions in Python.ipynb		Lab 12 - Polynomial Regression and Step Functions in Python.ipynb
Lab 13 - Splines in Python.ipynb		Lab 13 - Splines in Python.ipynb
Lab 14 - Decision Trees in Python.ipynb		Lab 14 - Decision Trees in Python.ipynb
Lab 15 - Support Vector Machines in Python.ipynb		Lab 15 - Support Vector Machines in Python.ipynb
Lab 16 - Multiclass SVMs and Applications to Real Data in Python.ipynb		Lab 16 - Multiclass SVMs and Applications to Real Data in Python.ipynb
Lab 18 - PCA in Python.ipynb		Lab 18 - PCA in Python.ipynb
Lab 2 - Linear Regression in Python.ipynb		Lab 2 - Linear Regression in Python.ipynb
Lab 3 - K-Nearest Neighbors in Python.ipynb		Lab 3 - K-Nearest Neighbors in Python.ipynb
Lab 4 - Logistic Regression in Python.ipynb		Lab 4 - Logistic Regression in Python.ipynb
Lab 5 - LDA and QDA in Python.ipynb		Lab 5 - LDA and QDA in Python.ipynb
Lab 7 - Cross-Validation in Python.ipynb		Lab 7 - Cross-Validation in Python.ipynb
Lab 8 - Subset Selection in Python.ipynb		Lab 8 - Subset Selection in Python.ipynb
Lab 9 - Linear Model Selection in Python.ipynb		Lab 9 - Linear Model Selection in Python.ipynb
README.md		README.md

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