This is the classic routines on machine learning, and only you can not think, no you can not do. Can be used to learn, but also can refer to write papers. Almost all machine learning contains relevant content.

MLcode\Machine Learning\src\10 Dimension Reduction\ecoli.py
......\................\...\......................\factoranalysis.py
......\................\...\......................\floyd.py
......\................\...\......................\iris.py
......\................\...\......................\isomap.py
......\................\...\......................\kernelpca.py
......\................\...\......................\kpcademo.py
......\................\...\......................\lda.py
......\................\...\......................\lle.py
......\................\...\......................\pca.py
......\................\...\......................\pcademo.py
......\................\...\10 Dimension Reduction
......\................\...\.1 Optimisation\CG.py
......\................\...\...............\LevenbergMarquardt.py
......\................\...\...............\LevenbergMarquardt_leastsq.py
......\................\...\...............\Newton.py
......\................\...\...............\steepest.py
......\................\...\...............\TSP.py
......\................\...\11 Optimisation
......\................\...\.2 Evolutionary\exhaustiveKnapsack.py
......\................\...\...............\fourpeaks.py
......\................\...\...............\ga.py
......\................\...\...............\greedyKnapsack.py
......\................\...\...............\knapsack.py
......\................\...\...............\PBIL.py
......\................\...\...............\run_ga.py
......\................\...\12 Evolutionary
......\................\...\.3 Reinforcement\SARSA.py
......\................\...\................\SARSA_cliff.py
......\................\...\................\TDZero.py
......\................\...\................\TDZero_cliff.py
......\................\...\13 Reinforcement
......\................\...\.4 MCMC\BoxMuller.py
......\................\...\.......\Gibbs.py
......\................\...\.......\importancesampling.py
......\................\...\.......\lcg.py
......\................\...\.......\MH.py
......\................\...\.......\rejectionsampling.py
......\................\...\.......\SIR.py
......\................\...\14 MCMC
......\................\...\.5 Graphical Models\Gibbs.py
......\................\...\...................\graphdemo.py
......\................\...\...................\HMM.py
......\................\...\...................\Kalman.py
......\................\...\...................\MRF.py
......\................\...\...................\world.png
......\................\...\15 Graphical Models
......\................\...\2 Linear\auto-mpg.py
......\................\...\........\linreg.py
......\................\...\........\linreg_logic_eg.py
......\................\...\........\logic.py
......\................\...\........\pcn.py
......\................\...\........\pcn_logic_eg.py
......\................\...\........\pima.py
......\................\...\2 Linear
......\................\...\3 MLP\iris.py
......\................\...\.....\iris_proc.data
......\................\...\.....\logic.py
......\................\...\.....\mlp.py
......\................\...\.....\PNoz.dat
......\................\...\.....\PNOz.py
......\................\...\.....\sinewave.py
......\................\...\3 MLP
......\................\...\4 RBF\iris.py
......\................\...\.....\least_squares.py
......\................\...\.....\rbf.py
......\................\...\4 RBF
......\................\...\6 Trees\dtree.py
......\................\...\.......\party.data
......\................\...\.......\party.py
......\................\...\6 Trees
......\................\...\7 Committee\bagging.py
......\................\...\...........\boost.py
......\................\...\...........\car.data
......\................\...\...........\car.py
......\................\...\...........\dtw.py
......\................\...\...........\party.py
......\................\...\7 Committee
......\................\...\8 Probability\gaussian.py
......\................\...\.............\GMM.py
....

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．