Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
파일 탐색기
최종 버전 다운로드 (.zip)- gdp_per_capita.csv
- oecd.csv
- housing.csv
- housing.tgz
- strat_test_set.f
- 2d_decision_boundary.png
- 2d_projection.png
- 2D_variance_projection.png
- adaboost.png
- AIC_BIC.png
- algos_comparison.png
- bagging.png
- BGMM.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
- EM_regularization.png
- ensemble_overunderfit.png
- Gaussian_mixtures.png
- GD.png
- gradient_boosting_optimization.png
- Hard_Margin_Classifier.png
- Hard_voting.png
- inretia_speed.png
- iris_tree.png
- k_to_inretia.png
- kernel_trick.png
- Lasso_examples.png
- lasso_vs_ridge.png
- Loss_curvature.png
- manifold_classification.png
- micro-services.png
- nonlinear_to_linear.png
- polynomial_svms.png
- Power_degrees.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
- SGD_Loss.png
- silhouette_diagram.png
- similarity_measures.png
- Soft_to_Hard_Street.png
- subspace_projection.png
- SVM_example.png
- SVM_regression.png
- SVM_space.png
- swiss_unroll.png
- training_rbfs.png
- .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
// repository documentation
Was this content helpful?
(0 ratings)