├── .gitignore ├── 01.ML_Landscape.ipynb ├── 02.End-to-End-ML-Project.ipynb ├── 03.Classification.ipynb ├── 04.Training-Models.ipynb ├── 05.SVMs.ipynb ├── 06.Decision_Trees.ipynb ├── 07.Ensembles_RFs.ipynb ├── 08.Dim_Reduction.ipynb ├── 09.Unsupervised_learning.ipynb ├── README.md ├── data ├── 00 │ ├── gdp_per_capita.csv │ └── oecd.csv └── 01 │ ├── housing.csv │ ├── housing.tgz │ └── strat_test_set.f └── static └── imgs ├── 2D_variance_projection.png ├── 2d_decision_boundary.png ├── 2d_projection.png ├── AIC_BIC.png ├── BGMM.png ├── EM_regularization.png ├── GD.png ├── Gaussian_mixtures.png ├── Hard_Margin_Classifier.png ├── Hard_voting.png ├── Lasso_examples.png ├── Loss_curvature.png ├── Power_degrees.png ├── SGD_Loss.png ├── SVM_example.png ├── SVM_regression.png ├── SVM_space.png ├── Soft_to_Hard_Street.png ├── adaboost.png ├── algos_comparison.png ├── bagging.png ├── blender.png ├── book_cover.png ├── boosting_ensembles.png ├── butterfly.jpg ├── corr_examples.png ├── decision_tree_boundaries.png ├── different_lrs.png ├── dt_bagging.png ├── early_stopping.png ├── ensemble_overunderfit.png ├── gradient_boosting_optimization.png ├── inretia_speed.png ├── iris_tree.png ├── k_to_inretia.png ├── kernel_trick.png ├── lasso_vs_ridge.png ├── manifold_classification.png ├── micro-services.png ├── nonlinear_to_linear.png ├── polynomial_svms.png ├── precision-recall-trade.png ├── reconstruction_vis.png ├── reg_tree.png ├── regression_trees.png ├── regularized_tree.png ├── regularizing_trees.png ├── ridge_examples.png ├── scaling_effect.png ├── silhouette_diagram.png ├── similarity_measures.png ├── subspace_projection.png ├── swiss_unroll.png └── training_rbfs.png /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/amanchadha/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/HEAD/.gitignore -------------------------------------------------------------------------------- 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