machine-learning-exercise
Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.
파일 탐색기
최종 버전 다운로드 (.zip)- compute_cost.py
- compute_cost_multi.py
- ex1.ipynb
- ex1.py
- ex1_multi.ipynb
- ex1_multi.py
- ex1data1.txt
- ex1data2.txt
- feature_normalize.py
- gradient_descent.py
- gradient_descent_multi.py
- normal_eqn.py
- plot_data.py
- warm_up_exercise.py
- cost_function.py
- cost_function_reg.py
- ex2.ipynb
- ex2.py
- ex2_reg.ipynb
- ex2_reg.py
- ex2data1.txt
- ex2data2.txt
- map_feature.py
- plot_data.py
- plot_decision_boundary.py
- predict.py
- sigmoid.py
- display_data.py
- ex3.ipynb
- ex3.py
- ex3_nn.ipynb
- ex3_nn.py
- ex3data1.mat
- ex3weights.mat
- lr_cost_function.py
- one_vs_all.py
- predict.py
- predict_one_vs_all.py
- sigmoid.py
- display_data.py
- ex4.ipynb
- ex4.py
- ex4data1.mat
- ex4weights.mat
- nn_cost_function.py
- predict.py
- rand_initialize_weights.py
- sigmoid.py
- sigmoid_gradient.py
- ex5.ipynb
- ex5.py
- ex5data1.mat
- feature_normalize.py
- learning_curve.py
- linear_reg_cost_function.py
- plot_fit.py
- poly_features.py
- train_linear_reg.py
- validation_curve.py
- data3_params.py
- email_features.py
- emailSample1.txt
- emailSample2.txt
- ex6.ipynb
- ex6.py
- ex6_spam.ipynb
- ex6_spam.py
- ex6data1.mat
- ex6data2.mat
- ex6data3.mat
- gaussian_kernel.py
- get_vocablist.py
- plot_data.py
- process_email.py
- spamSample1.txt
- spamSample2.txt
- spamTest.mat
- spamTrain.mat
- visualize_boundary.py
- visualize_boundary_linear.py
- vocab.txt
- bird_small.png
- compute_centroids.py
- display_data.py
- draw_line.py
- ex7.ipynb
- ex7.py
- ex7_pca.ipynb
- ex7_pca.py
- ex7data1.mat
- ex7data2.mat
- ex7faces.mat
- feature_normalize.py
- find_closest_centroids.py
- k_means_init_centroids.py
- pca.py
- plot_data_points.py
- plot_progress_k_means.py
- project_data.py
- recover_data.py
- run_k_means.py
- cofi_cost_func.py
- estimate_gaussian.py
- ex8.ipynb
- ex8.py
- ex8_cofi.ipynb
- ex8_cofi.py
- ex8_movieParams.mat
- ex8_movies.mat
- ex8data1.mat
- ex8data2.mat
- load_movie_list.py
- movie_ids.txt
- multivariate_gaussian.py
- normalize_ratings.py
- select_threshold.py
- visualize_fit.py
- README.md
- .gitignore
- README.md
// repository documentation
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