Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-master.zip （70个子文件） 
Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-master 
02.End-to-End-ML-Project.ipynb 960KB 06.Decision_Trees.ipynb 144KB 04.Training-Models.ipynb 310KB 05.SVMs.ipynb 216KB 07.Ensembles_RFs.ipynb 127KB README.md 3KB data 00 gdp_per_capita.csv 35KB oecd.csv 271KB 01 housing.tgz 400KB strat_test_set.f 373KB housing.csv 1.36MB 08.Dim_Reduction.ipynb 901KB .gitignore 115B 03.Classification.ipynb 251KB static imgs 
training_rbfs.png 2.15MB Gaussian_mixtures.png 394KB gradient_boosting_optimization.png 461KB blender.png 389KB EM_regularization.png 1.64MB 2d_decision_boundary.png 522KB inretia_speed.png 552KB Soft_to_Hard_Street.png 609KB regularized_tree.png 845KB algos_comparison.png 786KB lasso_vs_ridge.png 1.44MB reconstruction_vis.png 1.59MB different_lrs.png 878KB GD.png 333KB scaling_effect.png 297KB nonlinear_to_linear.png 261KB reg_tree.png 72KB swiss_unroll.png 626KB early_stopping.png 388KB regression_trees.png 676KB SVM_regression.png 759KB SGD_Loss.png 458KB Hard_voting.png 647KB precision-recall-trade.png 328KB decision_tree_boundaries.png 404KB iris_tree.png 65KB Power_degrees.png 944KB Loss_curvature.png 265KB Hard_Margin_Classifier.png 464KB subspace_projection.png 769KB Lasso_examples.png 646KB micro-services.png 319KB SVM_space.png 920KB bagging.png 751KB kernel_trick.png 840KB corr_examples.png 983KB BGMM.png 387KB ridge_examples.png 685KB manifold_classification.png 3.31MB adaboost.png 574KB AIC_BIC.png 288KB
butterfly.jpg 232KB boosting_ensembles.png 885KB k_to_inretia.png 251KB silhouette_diagram.png 466KB 2d_projection.png 244KB regularizing_trees.png 630KB similarity_measures.png 502KB book_cover.png 2.52MB 2D_variance_projection.png 450KB dt_bagging.png 1.65MB ensemble_overunderfit.png 596KB polynomial_svms.png 988KB SVM_example.png 471KB 01.ML_Landscape.ipynb 58KB 09.Unsupervised_learning.ipynb 3.14MB资源评论
