文件名称：吴恩达机器学习的python-code.rar
文件大小：31.2MB
文件格式：RAR
更新时间：2024-04-14 02:24:33
机器学习
吴恩达机器学习的python-code.rar
【文件预览】：
吴恩达机器学习的python-code
----ex1-linear regression()
--------ex1.pdf(478KB)
--------1.linear_regreesion_v1.ipynb(261KB)
--------ex1data2.txt(704B)
--------ex1data1.txt(1KB)
--------ML-Exercise1.ipynb(139KB)
----ex2-logistic regression()
--------ML-Exercise2.ipynb(101KB)
--------1. logistic_regression_v1.ipynb(296KB)
--------ex2.pdf(228KB)
--------ex2data1.txt(4KB)
--------ex2data2.txt(2KB)
----ex6-SVM()
--------data()
--------4- spam filter.ipynb(6KB)
--------ex6.pdf(328KB)
--------1- linear SVM.ipynb(77KB)
--------2- Gaussian kernels.ipynb(141KB)
--------3- search for the best parameters.ipynb(13KB)
--------ML-Exercise6.ipynb(180KB)
----ex3-neural network()
--------ex3weights.mat(78KB)
--------ex3.pdf(287KB)
--------1- neural network.ipynb(91KB)
--------ex3data1.mat(7.16MB)
--------ML-Exercise3.ipynb(16KB)
----ex7-kmeans and PCA()
--------4- 2D PCA.ipynb(67KB)
--------data()
--------3- kmeans for image compression.ipynb(301KB)
--------2- 2D kmeans.ipynb(160KB)
--------5- PCA on face data.ipynb(679KB)
--------ML-Exercise7.ipynb(388KB)
--------ex7.pdf(699KB)
--------1- visualize data.ipynb(46KB)
----ex5-bias vs variance()
--------ML-Exercise5.ipynb(157KB)
--------ex5data1.mat(1KB)
--------ex5.pdf(183KB)
----README.md(215B)
----ex8-anomaly detection and recommendation()
--------data()
--------ML-Exercise8.ipynb(154KB)
--------ex8.pdf(242KB)
--------2- Recommender system.ipynb(17KB)
--------1- Anomaly detection.ipynb(70KB)
----img()
--------logistic_gradient.png(15KB)
--------logistic_cost.png(20KB)
--------mapped_feature.png(7KB)
--------nn_cost.png(20KB)
--------reg_cost.png(7KB)
--------linear_reg_cost.png(9KB)
--------nn_model.png(119KB)
--------pca_projection.png(23KB)
--------gradient_checking.png(8KB)
--------rcmd_vectorized_grad.png(5KB)
--------rcmd_gradient.png(13KB)
--------rcmd_cost.png(18KB)
--------cov_mat.png(2KB)
--------reg_gradient.png(8KB)
--------linear_gradient.png(4KB)
--------nn_reg_grad.png(27KB)
--------f1_score.png(49KB)
--------linear_cost.png(5KB)
--------nn_regcost.png(35KB)
--------linear_reg_gradient.png(19KB)
--------rcmd_reg_grad.png(15KB)
----ex4-NN back propagation()
--------ex4weights.mat(78KB)
--------1- NN back propagation.ipynb(195KB)
--------ex4.pdf(348KB)
--------ex4data1.mat(7.16MB)
--------ML-Exercise4.ipynb(23KB)