├── .gitignore ├── README.md ├── chapters ├── 10 Boosting and Additive Trees │ └── 1 Boosting Methods.ipynb ├── 11 Neural Networks │ └── 3 Neural Networks.ipynb ├── 3 Linear Methods for Regression │ └── 0 - Prerequisites.ipynb ├── 4 Linear Methods for Classification │ ├── 4 - Logistic Regression.ipynb │ ├── 5 - Separating Hyperplanes.ipynb │ └── CVXPY - Convex Optimization.ipynb ├── 5 Basis Expansions and Regularization │ ├── 2 - Piecewise Polynomials and Splines.ipynb │ ├── 4 Smoothing Splines.ipynb │ └── 5 - Automatic Selection of the Smoothing Parameters.ipynb ├── 6 Kernel Smoothing Methods │ ├── 1 One-Dimensional Kernel Smoothers.ipynb │ └── 6 Kernel Density Estimation and Classification.ipynb ├── 7 Model Assessment and Selection │ ├── 10 Cross-Validation.ipynb │ └── 3 The Bias–Variance Decomposition.ipynb ├── 8 Model Inference and Averaging │ ├── 2 The Bootstrap and Maximum Likelihood Methods.ipynb │ ├── 5 The EM Algorithm.ipynb │ └── 7 Bagging.ipynb └── 9 Additive Models, Trees, and Related Methods │ ├── 2 Tree-Based Methods.ipynb │ └── 4 MARS (Multivariate Adaptive Regression Splines).ipynb ├── data ├── 14cancer.npy.npz ├── Bone Mineral Density.txt ├── California Housing.txt ├── Countries.txt ├── Demographis.txt ├── Demographis_raw.txt ├── ESL.mixture.rda ├── Galaxy.txt ├── LAozone.data.txt ├── Ozone.txt ├── Phoneme Recognition.txt ├── Prostate Cancer.txt ├── South African Heart Disease.txt ├── Spam.txt ├── Vowel.txt ├── mixture.txt ├── nci.data.csv ├── nci.label.txt ├── numerals.bmp ├── orange.npz ├── protein.data ├── randsens.npz ├── sat.npy ├── signature.csv ├── srbct.npy.npz ├── waveform.txt └── zip.npy.npz ├── examples ├── 14 Cancer.ipynb ├── Air Pollution.ipynb ├── Bone Mineral Density.ipynb ├── California Housing.ipynb ├── Country Dissimilarities.ipynb ├── Demographics.ipynb ├── Galaxy.ipynb ├── Human Tumor Microarray Data.ipynb ├── Image Scene Classification.ipynb ├── Mixture.ipynb ├── Ozone.ipynb ├── Phoneme Recognition.ipynb ├── Prostate Cancer.ipynb ├── Protein Flow Cytometry.ipynb ├── Radiation Sensitivity.ipynb ├── SRBCT Microarray.ipynb ├── Signature.ipynb ├── Skin of the Orange.ipynb ├── South African Heart Disease.ipynb ├── Spam.ipynb ├── Vowel.ipynb ├── Waveform.ipynb └── ZIP Code.ipynb ├── images ├── bone.png ├── california.png ├── cancer.png ├── chd.png ├── country.png ├── cytometry.png ├── demographics.png ├── galaxy.png ├── mixture.png ├── ozone.png ├── ozone_vs_pressure_gradient.png ├── phoneme.png ├── radiation.png ├── signature.png ├── spam.png ├── srbct.png ├── tumor.png ├── vowel.png ├── waveform.png ├── zip1.png └── zip2.png └── tutorials ├── CVXPY - CHD.ipynb ├── CVXPY - Convex Optimization for Everyone.ipynb ├── DA.ipynb ├── DIS.ipynb ├── GAM.ipynb ├── SVD.ipynb └── images ├── box_volume_optimization.jpg ├── convex_concave.png ├── max_heart_rate_scatter.png ├── stock_optimal_curve.png ├── stock_var_gain_curve.png └── stock_var_gain_distribution.png /.gitignore: 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