文件名称:机器学习Python程序
介绍说明--下载内容均来自于网络,请自行研究使用
覆盖了基本常用的机器学习算法。包括线性回归与分类算法;决策树;多种降维算法;优化算法;强化学习等多类算法的Python代码。(It covers the commonly used machine learning algorithms. Including linear regression and classification algorithm; decision tree; a variety of dimensionality reduction algorithm; optimization algorithm; reinforcement learning and other algorithms of Python code.)
相关搜索: 机器学习常用算法Python代码
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
Machine Learning | 0 | 2009-04-20 |
Machine Learning\src | 0 | 2009-04-20 |
Machine Learning\src\10 Dimension Reduction | 0 | 2009-04-20 |
Machine Learning\src\10 Dimension Reduction\ecoli.py | 1660 | 2009-03-25 |
Machine Learning\src\10 Dimension Reduction\factoranalysis.py | 1730 | 2009-03-25 |
Machine Learning\src\10 Dimension Reduction\floyd.py | 1389 | 2009-03-25 |
Machine Learning\src\10 Dimension Reduction\iris.py | 2520 | 2009-03-25 |
Machine Learning\src\10 Dimension Reduction\isomap.py | 3512 | 2009-03-25 |
Machine Learning\src\10 Dimension Reduction\kernelpca.py | 1947 | 2009-03-25 |
Machine Learning\src\10 Dimension Reduction\kpcademo.py | 1452 | 2009-03-25 |
Machine Learning\src\10 Dimension Reduction\lda.py | 1689 | 2009-03-25 |
Machine Learning\src\10 Dimension Reduction\lle.py | 1979 | 2009-03-25 |
Machine Learning\src\10 Dimension Reduction\pca.py | 1227 | 2009-03-25 |
Machine Learning\src\10 Dimension Reduction\pcademo.py | 849 | 2009-03-25 |
Machine Learning\src\11 Optimisation | 0 | 2009-04-20 |
Machine Learning\src\11 Optimisation\CG.py | 1579 | 2009-03-25 |
Machine Learning\src\11 Optimisation\LevenbergMarquardt.py | 1748 | 2009-03-25 |
Machine Learning\src\11 Optimisation\LevenbergMarquardt_leastsq.py | 2692 | 2009-03-25 |
Machine Learning\src\11 Optimisation\Newton.py | 965 | 2009-03-25 |
Machine Learning\src\11 Optimisation\steepest.py | 841 | 2009-03-25 |
Machine Learning\src\11 Optimisation\TSP.py | 5392 | 2009-03-25 |
Machine Learning\src\12 Evolutionary | 0 | 2009-04-20 |
Machine Learning\src\12 Evolutionary\exhaustiveKnapsack.py | 1015 | 2009-03-25 |
Machine Learning\src\12 Evolutionary\fourpeaks.py | 1019 | 2009-03-25 |
Machine Learning\src\12 Evolutionary\ga.py | 5505 | 2009-03-25 |
Machine Learning\src\12 Evolutionary\greedyKnapsack.py | 1044 | 2009-03-25 |
Machine Learning\src\12 Evolutionary\knapsack.py | 849 | 2009-03-25 |
Machine Learning\src\12 Evolutionary\PBIL.py | 1466 | 2009-03-25 |
Machine Learning\src\12 Evolutionary\run_ga.py | 502 | 2009-03-25 |
Machine Learning\src\13 Reinforcement | 0 | 2009-04-20 |
Machine Learning\src\13 Reinforcement\SARSA.py | 1987 | 2009-03-25 |
Machine Learning\src\13 Reinforcement\SARSA_cliff.py | 4604 | 2009-03-25 |
Machine Learning\src\13 Reinforcement\TDZero.py | 1415 | 2009-03-25 |
Machine Learning\src\13 Reinforcement\TDZero_cliff.py | 4118 | 2009-03-25 |
Machine Learning\src\14 MCMC | 0 | 2009-04-20 |
Machine Learning\src\14 MCMC\BoxMuller.py | 1062 | 2009-03-25 |
Machine Learning\src\14 MCMC\Gibbs.py | 1475 | 2009-03-25 |
Machine Learning\src\14 MCMC\importancesampling.py | 1207 | 2009-03-25 |
Machine Learning\src\14 MCMC\lcg.py | 847 | 2009-03-25 |
Machine Learning\src\14 MCMC\MH.py | 1527 | 2009-03-25 |
Machine Learning\src\14 MCMC\rejectionsampling.py | 1412 | 2009-03-25 |
Machine Learning\src\14 MCMC\SIR.py | 1557 | 2009-03-25 |
Machine Learning\src\15 Graphical Models | 0 | 2009-04-20 |
Machine Learning\src\15 Graphical Models\Gibbs.py | 4660 | 2009-03-25 |
Machine Learning\src\15 Graphical Models\graphdemo.py | 852 | 2009-03-25 |
Machine Learning\src\15 Graphical Models\HMM.py | 3364 | 2009-03-25 |
Machine Learning\src\15 Graphical Models\Kalman.py | 1841 | 2009-03-25 |
Machine Learning\src\15 Graphical Models\MRF.py | 1607 | 2009-03-25 |
Machine Learning\src\15 Graphical Models\world.png | 751 | 2009-03-25 |
Machine Learning\src\2 Linear | 0 | 2009-04-20 |
Machine Learning\src\2 Linear\auto-mpg.py | 866 | 2009-03-25 |
Machine Learning\src\2 Linear\linreg.py | 671 | 2009-03-25 |
Machine Learning\src\2 Linear\linreg_logic_eg.py | 1066 | 2009-03-25 |
Machine Learning\src\2 Linear\logic.py | 1014 | 2009-03-25 |
Machine Learning\src\2 Linear\pcn.py | 2443 | 2009-03-25 |
Machine Learning\src\2 Linear\pcn_logic_eg.py | 2182 | 2009-03-25 |
Machine Learning\src\2 Linear\pima.py | 1786 | 2009-03-25 |
Machine Learning\src\3 MLP | 0 | 2009-04-20 |
Machine Learning\src\3 MLP\iris.py | 2048 | 2009-03-25 |
Machine Learning\src\3 MLP\iris_proc.data | 2700 | 2009-03-25 |
Machine Learning\src\3 MLP\logic.py | 1262 | 2009-03-25 |
Machine Learning\src\3 MLP\mlp.py | 5032 | 2009-04-20 |
Machine Learning\src\3 MLP\PNoz.dat | 185575 | 2009-03-25 |
Machine Learning\src\3 MLP\PNOz.py | 1699 | 2009-03-25 |
Machine Learning\src\3 MLP\sinewave.py | 1625 | 2009-03-25 |
Machine Learning\src\4 RBF | 0 | 2009-04-20 |
Machine Learning\src\4 RBF\iris.py | 1496 | 2009-03-25 |
Machine Learning\src\4 RBF\least_squares.py | 754 | 2009-03-25 |
Machine Learning\src\4 RBF\rbf.py | 3479 | 2009-03-25 |
Machine Learning\src\6 Trees | 0 | 2009-04-20 |
Machine Learning\src\6 Trees\dtree.py | 5852 | 2009-03-25 |
Machine Learning\src\6 Trees\party.data | 211 | 2009-03-25 |
Machine Learning\src\6 Trees\party.py | 707 | 2009-03-25 |
Machine Learning\src\7 Committee | 0 | 2009-04-20 |
Machine Learning\src\7 Committee\bagging.py | 1770 | 2009-03-25 |
Machine Learning\src\7 Committee\boost.py | 5196 | 2009-03-25 |
Machine Learning\src\7 Committee\car.data | 51921 | 2009-03-25 |
Machine Learning\src\7 Committee\car.py | 1935 | 2009-03-25 |
Machine Learning\src\7 Committee\dtw.py | 7830 | 2009-03-25 |
Machine Learning\src\7 Committee\party.py | 926 | 2009-03-25 |
Machine Learning\src\8 Probability | 0 | 2009-04-20 |
Machine Learning\src\8 Probability\gaussian.py | 1488 | 2009-03-25 |
Machine Learning\src\8 Probability\GMM.py | 1759 | 2009-03-25 |
Machine Learning\src\8 Probability\kdtree.py | 2490 | 2009-03-25 |
Machine Learning\src\8 Probability\knn.py | 957 | 2009-03-25 |
Machine Learning\src\8 Probability\knnSmoother.py | 2672 | 2009-03-25 |
Machine Learning\src\8 Probability\plotGaussian.py | 713 | 2009-03-25 |
Machine Learning\src\8 Probability\ruapehu.dat | 1136 | 2009-03-25 |
Machine Learning\src\9 Unsupervised | 0 | 2009-04-20 |
Machine Learning\src\9 Unsupervised\iris.py | 2188 | 2009-03-25 |
Machine Learning\src\9 Unsupervised\kmeans.py | 2126 | 2009-03-25 |
Machine Learning\src\9 Unsupervised\kmeansnet.py | 1535 | 2009-03-25 |
Machine Learning\src\9 Unsupervised\moredemos.py | 2154 | 2009-03-25 |
Machine Learning\src\9 Unsupervised\shortecoli.data | 11970 | 2009-03-25 |
Machine Learning\src\9 Unsupervised\som.py | 3488 | 2009-03-25 |
Machine Learning\src\9 Unsupervised\somdemo.py | 2845 | 2009-03-25 |