├── Chapter_10 ├── Figure_10.1.ipynb ├── Lab 2 - Clustering.ipynb ├── Lab-1-PCA.ipynb └── Readme.md ├── Chapter_2 ├── Applied Questions.ipynb ├── CONCEPTUAL QUESTIONS.pdf └── Chapter_2_SHEET.pdf ├── Chapter_3 ├── 3.3.2_Non linear fits.ipynb ├── 3.4 The Marketing Plan.ipynb ├── Chapter_3_SHEET.pdf ├── Chapter_3_lab.ipynb ├── Exerciese - Applied Questions.ipynb └── Exercises - Conceptual.pdf ├── Chapter_4 ├── Chapter_4_LAB.ipynb ├── Chapter_4_SHEET.pdf ├── Exercise_conceptual.pdf └── Exercises - Applied.ipynb ├── Chapter_5 ├── 5.2-figure.ipynb ├── 5.4 - figure.ipynb ├── Applied Questions.ipynb ├── Chapter_5_LAB.ipynb ├── Chapter_5_SHEET.pdf └── Exercises_Conceptual.pdf ├── Chapter_6 ├── 6.2.1_ Ridge_regression.ipynb ├── 6.5_LAB_1.ipynb ├── 6.6 LAB_2.ipynb ├── 6.7_LAB_3.ipynb ├── Appied_questions.ipynb ├── Conceptual_Exercises.pdf ├── Figure_6.6_Lasso.ipynb └── figure_6.2_Forward_selection.ipynb ├── Chapter_7 ├── Applied Questions.ipynb ├── Conceptual_Questions_chapter_7.pdf ├── LAB - chapter - 7_ Moving_beyond_linearity.ipynb ├── LAB_chapter_7_continued_with_GAM.ipynb └── README.md ├── Chapter_8 ├── Applied_Questions_chapter_8.ipynb ├── Examples using sklearn.ipynb ├── Exercise_Conceptual_Questions.pdf ├── Lab-8.3.4_Boosting.ipynb ├── Lab_8.3.1_fitting_classification_trees.ipynb ├── Lab_8.3.2_Fitting_regression_trees.ipynb └── Lab_8.3.3_Bagging_and_Random_Forests.ipynb ├── Chapter_9 ├── 9.3.3 An Application to Heart Disease Data.ipynb ├── Appied_Questions_Ch-9.ipynb ├── Conceptual_questions_ch_9.pdf ├── Lab_9.6.1_Support_Vector_Classifiers.ipynb ├── Lab_9.6.2_and_9.6.3.ipynb ├── Lab_9.6.4 and 9.6.5.ipynb └── Q-8-Applied_exerciese.ipynb ├── README.md └── data ├── Advertising.csv ├── Auto.csv ├── Auto.data ├── Caravan.csv ├── Carseats.csv ├── Ch10Ex11.csv ├── College.csv ├── Credit.csv ├── Default.csv ├── Heart.csv ├── Hitters.csv ├── Income1.csv ├── Income2.csv ├── OJ.csv ├── Portfolio.csv ├── README.md ├── Smarket.csv ├── USArrests.csv ├── Wage.csv ├── Weekly.csv 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