ISLR-labs

Contains R code from labs in "Introduction to Statistical Learning"

this is a line from Rstudio

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Clustering Lab 2 CH 10.R		Clustering Lab 2 CH 10.R
Cross Validation and Bootstrap Ch 5.R		Cross Validation and Bootstrap Ch 5.R
Decision Trees CH 8.R		Decision Trees CH 8.R
Linear Regression and Function CH 3.R		Linear Regression and Function CH 3.R
Logistic Regression LDA QDA KNN CH 4.R		Logistic Regression LDA QDA KNN CH 4.R
NCI60 Data Example Lab 3 CH 10.R		NCI60 Data Example Lab 3 CH 10.R
Non Linear Modeling CH 7.R		Non Linear Modeling CH 7.R
PCR and PLS Regression Lab 3 CH 6.R		PCR and PLS Regression Lab 3 CH 6.R
Principal Component Analysis Lab 1 CH 10.R		Principal Component Analysis Lab 1 CH 10.R
README.md		README.md
Ridge Regression and the Lasso Lab 2 CH 6.R		Ridge Regression and the Lasso Lab 2 CH 6.R
Subset Selection Methods Lab 1 CH 6.R		Subset Selection Methods Lab 1 CH 6.R
Support Vector Machines CH 9.R		Support Vector Machines CH 9.R

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