atystats / ISLR_Notes_codes Public

A repository based on my notes and codes in Python from the book Introduction to Statistical Learning

Name		Name	Last commit message	Last commit date
Latest commit History 197 Commits
Datasets		Datasets
Chapter 1 and 2.ipynb		Chapter 1 and 2.ipynb
Chapter 10.ipynb		Chapter 10.ipynb
Chapter 3.ipynb		Chapter 3.ipynb
Chapter 4.ipynb		Chapter 4.ipynb
Chapter 5.ipynb		Chapter 5.ipynb
Chapter 6.ipynb		Chapter 6.ipynb
Chapter 7.ipynb		Chapter 7.ipynb
Chapter 8.ipynb		Chapter 8.ipynb
Chapter 9.ipynb		Chapter 9.ipynb
Dendrogram.jpg		Dendrogram.jpg
MSE Flexibility.png		MSE Flexibility.png
Maximal Margin Classifier.png		Maximal Margin Classifier.png
README.md		README.md
Ridge and lasso Var selection.png		Ridge and lasso Var selection.png
Ridge regression Bias and variance.png		Ridge regression Bias and variance.png
SVM vs logistic.png		SVM vs logistic.png
SVM with non linear Kernel.png		SVM with non linear Kernel.png
Support Vector Classifier.jpg		Support Vector Classifier.jpg
XGBoost_Notebook.ipynb		XGBoost_Notebook.ipynb