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11 Commitshttps://github.com/sunpool/ISL-python/commits/master/
https://github.com/sunpool/ISL-python/commits/master/
chapter_10_unsupervised_learninghttps://github.com/sunpool/ISL-python/tree/master/chapter_10_unsupervised_learning
chapter_10_unsupervised_learninghttps://github.com/sunpool/ISL-python/tree/master/chapter_10_unsupervised_learning
chapter_2_statistical_learninghttps://github.com/sunpool/ISL-python/tree/master/chapter_2_statistical_learning
chapter_2_statistical_learninghttps://github.com/sunpool/ISL-python/tree/master/chapter_2_statistical_learning
chapter_3_linear_regressionhttps://github.com/sunpool/ISL-python/tree/master/chapter_3_linear_regression
chapter_3_linear_regressionhttps://github.com/sunpool/ISL-python/tree/master/chapter_3_linear_regression
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chapter_4_classificationhttps://github.com/sunpool/ISL-python/tree/master/chapter_4_classification
chapter_5_resampling_methodshttps://github.com/sunpool/ISL-python/tree/master/chapter_5_resampling_methods
chapter_5_resampling_methodshttps://github.com/sunpool/ISL-python/tree/master/chapter_5_resampling_methods
chapter_6_linear_model_selection_and_regularizationhttps://github.com/sunpool/ISL-python/tree/master/chapter_6_linear_model_selection_and_regularization
chapter_6_linear_model_selection_and_regularizationhttps://github.com/sunpool/ISL-python/tree/master/chapter_6_linear_model_selection_and_regularization
chapter_7_moving_beyond_linearityhttps://github.com/sunpool/ISL-python/tree/master/chapter_7_moving_beyond_linearity
chapter_7_moving_beyond_linearityhttps://github.com/sunpool/ISL-python/tree/master/chapter_7_moving_beyond_linearity
chapter_8_tree_based_methodshttps://github.com/sunpool/ISL-python/tree/master/chapter_8_tree_based_methods
chapter_8_tree_based_methodshttps://github.com/sunpool/ISL-python/tree/master/chapter_8_tree_based_methods
chapter_9_support_vector_machineshttps://github.com/sunpool/ISL-python/tree/master/chapter_9_support_vector_machines
chapter_9_support_vector_machineshttps://github.com/sunpool/ISL-python/tree/master/chapter_9_support_vector_machines
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READMEhttps://github.com/sunpool/ISL-python
https://github.com/sunpool/ISL-python#isl-python
An Introduction to Statistical Learninghttp://www.statlearning.com
Chapter 2 Lab - Introduction to Python and Numpyhttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_2_statistical_learning/Lab-Introduction_to_Python.ipynb
Chapter 3 Lab - Linear Regressionhttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_3_linear_regression/Lab-Linear_Regression.ipynb
Chapter 4 Lab - Logistic Regression, LDA, QDA, and KNNhttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_4_classification/Lab-Logistic_Regression_LDA_QDA_KNN.ipynb
Chapter 5 Lab - Cross-Validation and the Bootstraphttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_5_resampling_methods/Lab-Cross_Validation_and_the_Bootstrap.ipynb
Chapter 6 Lab 1 - Subset Selection Methodshttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_6_linear_model_selection_and_regularization/Lab-1_Subset_Selection_Methods.ipynb
Chapter 6 Lab 2 - Ridge Regression and the Lassohttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_6_linear_model_selection_and_regularization/Lab-2_Ridge_Regression_and_the_Lasso.ipynb
Chapter 7 Lab - Non-Linear Modelinghttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_7_moving_beyond_linearity/Lab_Non_Linear_Modeling.ipynb
Chapter 8 Lab - Decision Treeshttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_8_tree_based_methods/Lab-Decision_Trees.ipynb
Chapter 9 Lab - Support Vector Machineshttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_9_support_vector_machines/Lab-Support_Vector_Machines.ipynb
Chapter 10 Lab 1- Principal Component Analysishttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_10_unsupervised_learning/Lab-1_Principal_Component_Analysis.ipynb
Chapter 10 Lab 2 - Clusteringhttp://nbviewer.ipython.org/github/neutralino/ISL-python/blob/master/chapter_10_unsupervised_learning/Lab-2_Clustering.ipynb
https://github.com/sunpool/ISL-python#other-repos-of-interest
Exercise solutions in Rhttps://github.com/asadoughi/stat-learning
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