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Name		Name	Last commit message	Last commit date
01. Release Highlights		01. Release Highlights
02. Biclustering		02. Biclustering
03. Calibration		03. Calibration
04. Classification		04. Classification
05. Clustering		05. Clustering
06. Covariance estimation		06. Covariance estimation
07. Cross decomposition		07. Cross decomposition
08. Dataset examples		08. Dataset examples
09. Decision Trees		09. Decision Trees
10. Decomposition		10. Decomposition
11. Developing Estimators		11. Developing Estimators
12. Ensemble methods		12. Ensemble methods
13. Examples based on real world datasets		13. Examples based on real world datasets
14. Feature Selection		14. Feature Selection
15. Gaussian Mixture Models		15. Gaussian Mixture Models
16. Gaussian Process for Machine Learning		16. Gaussian Process for Machine Learning
17. Generalized Linear Models		17. Generalized Linear Models
18.Inspection		18.Inspection
19. Kernel Approxiamtion		19. Kernel Approxiamtion
20. Manifold learning		20. Manifold learning
21. Miscellaneous		21. Miscellaneous
22. Missing Value Imputation		22. Missing Value Imputation
23. Model Selection		23. Model Selection
24. Multiclass methods		24. Multiclass methods
25. Multiouput methods		25. Multiouput methods
26. Nearest Neighbors		26. Nearest Neighbors
27. Neural Networks		27. Neural Networks
28. Pipelines and composite estimators		28. Pipelines and composite estimators
29. Preprocessing		29. Preprocessing
30. Semi Supervised Classification		30. Semi Supervised Classification
31. Support Vector Machines		31. Support Vector Machines
32. Tutorial exercise		32. Tutorial exercise
33. Working with text documents		33. Working with text documents
README.md		README.md

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