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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
370б |
| 001 Introduction To Instructor.en.srt |
14.99Кб |
| 001 Introduction To Instructor.mp4 |
53.32Мб |
| 002 Focus of the Course.en.srt |
12.52Кб |
| 002 Focus of the Course.mp4 |
37.91Мб |
| 003 Request for Your Honest Review.en.srt |
2.50Кб |
| 003 Request for Your Honest Review.mp4 |
28.85Мб |
| 004 Link to Github to get the Python Notebooks.html |
2.13Кб |
| 005 Introduction to Feature in Data Science.en.srt |
7.19Кб |
| 005 Introduction to Feature in Data Science.mp4 |
37.81Мб |
| 006 Marking Facial Features.en.srt |
6.08Кб |
| 006 Marking Facial Features.mp4 |
34.96Мб |
| 007 Feature Space.en.srt |
12.18Кб |
| 007 Feature Space.mp4 |
67.78Мб |
| 008 Features Dimensions.en.srt |
8.67Кб |
| 008 Features Dimensions.mp4 |
50.42Мб |
| 009 Features Dimensions Activity.en.srt |
3.55Кб |
| 009 Features Dimensions Activity.mp4 |
11.52Мб |
| 010 Why Dimensionality Reduction.en.srt |
19.92Кб |
| 010 Why Dimensionality Reduction.mp4 |
114.09Мб |
| 011 Activity-Dimensionality Reduction.en.srt |
1.27Кб |
| 011 Activity-Dimensionality Reduction.mp4 |
5.90Мб |
| 012 Feature Dimensionality Reduction Methods.en.srt |
12.80Кб |
| 012 Feature Dimensionality Reduction Methods.mp4 |
41.66Мб |
| 013 Why Feature Selection.en.srt |
10.18Кб |
| 013 Why Feature Selection.mp4 |
38.34Мб |
| 014 Feature Selection Methods.en.srt |
3.60Кб |
| 014 Feature Selection Methods.mp4 |
15.85Мб |
| 015 Filter Methods.en.srt |
6.74Кб |
| 015 Filter Methods.mp4 |
24.76Мб |
| 016 Wrapper Methods.en.srt |
12.70Кб |
| 016 Wrapper Methods.mp4 |
51.71Мб |
| 017 Embedded Methods.en.srt |
12.55Кб |
| 017 Embedded Methods.mp4 |
42.85Мб |
| 018 Search Strategy.en.srt |
19.11Кб |
| 018 Search Strategy.mp4 |
62.38Мб |
| 019 Search Strategy Activity.en.srt |
2.08Кб |
| 019 Search Strategy Activity.mp4 |
9.68Мб |
| 020 Statistical Based Methods.en.srt |
25.27Кб |
| 020 Statistical Based Methods.mp4 |
104.36Мб |
| 021 Information Theoratic Methods.en.srt |
13.37Кб |
| 021 Information Theoratic Methods.mp4 |
59.91Мб |
| 022 Similarity Based Methods Introduction.en.srt |
11.42Кб |
| 022 Similarity Based Methods Introduction.mp4 |
57.93Мб |
| 023 Similarity Based Methods Criteria.en.srt |
14.24Кб |
| 023 Similarity Based Methods Criteria.mp4 |
70.97Мб |
| 024 Activity- Feature Selection in Python.en.srt |
72.29Кб |
| 024 Activity- Feature Selection in Python.mp4 |
260.26Мб |
| 025 Activity- Feature Selection.en.srt |
1.07Кб |
| 025 Activity- Feature Selection.mp4 |
5.43Мб |
| 026 Introduction to Mathematical Foundation of Feature Selection.en.srt |
4.76Кб |
| 026 Introduction to Mathematical Foundation of Feature Selection.mp4 |
13.68Мб |
| 027 Closure Of A Set.en.srt |
14.91Кб |
| 027 Closure Of A Set.mp4 |
39.46Мб |
| 028 Linear Combinations.en.srt |
14.35Кб |
| 028 Linear Combinations.mp4 |
50.53Мб |
| 029 Linear Independence.en.srt |
7.49Кб |
| 029 Linear Independence.mp4 |
27.39Мб |
| 030 Vector Space.en.srt |
15.66Кб |
| 030 Vector Space.mp4 |
68.48Мб |
| 031 Basis and Dimensions.en.srt |
13.23Кб |
| 031 Basis and Dimensions.mp4 |
59.50Мб |
| 032 Coordinates vs Dimensions.en.srt |
18.87Кб |
| 032 Coordinates vs Dimensions.mp4 |
89.63Мб |
| 033 SubSpace.en.srt |
16.03Кб |
| 033 SubSpace.mp4 |
72.44Мб |
| 034 Orthonormal Basis.en.srt |
9.42Кб |
| 034 Orthonormal Basis.mp4 |
31.39Мб |
| 035 Matrix Product.en.srt |
14.80Кб |
| 035 Matrix Product.mp4 |
57.54Мб |
| 036 Least Squares.en.srt |
8.83Кб |
| 036 Least Squares.mp4 |
36.04Мб |
| 037 Rank.en.srt |
9.42Кб |
| 037 Rank.mp4 |
34.80Мб |
| 038 Eigen Space.en.srt |
11.51Кб |
| 038 Eigen Space.mp4 |
38.06Мб |
| 039 Positive Semi Definite Matrix.en.srt |
12.47Кб |
| 039 Positive Semi Definite Matrix.mp4 |
55.53Мб |
| 040 Singular Value Decomposition SVD.en.srt |
14.73Кб |
| 040 Singular Value Decomposition SVD.mp4 |
65.75Мб |
| 041 Lagrange Multipliers.en.srt |
7.58Кб |
| 041 Lagrange Multipliers.mp4 |
27.87Мб |
| 042 Vector Derivatives.en.srt |
7.42Кб |
| 042 Vector Derivatives.mp4 |
33.75Мб |
| 043 Linear Algebra Module Python.en.srt |
19.94Кб |
| 043 Linear Algebra Module Python.mp4 |
67.19Мб |
| 044 Activity-Linear Algebra Module Python.en.srt |
3.30Кб |
| 044 Activity-Linear Algebra Module Python.mp4 |
13.30Мб |
| 045 Feature Extraction Introduction.en.srt |
7.09Кб |
| 045 Feature Extraction Introduction.mp4 |
20.24Мб |
| 046 PCA Introduction.en.srt |
7.83Кб |
| 046 PCA Introduction.mp4 |
59.41Мб |
| 047 PCA Criteria.en.srt |
11.99Кб |
| 047 PCA Criteria.mp4 |
70.23Мб |
| 048 PCA Properties.en.srt |
8.64Кб |
| 048 PCA Properties.mp4 |
27.60Мб |
| 049 PCA Max Variance Formulation.en.srt |
15.13Кб |
| 049 PCA Max Variance Formulation.mp4 |
41.88Мб |
| 050 PCA Derivation.en.srt |
16.56Кб |
| 050 PCA Derivation.mp4 |
61.57Мб |
| 051 PCA Implementation.en.srt |
37.06Кб |
| 051 PCA Implementation.mp4 |
146.10Мб |
| 052 PCA For Small Sample Size Problems(DualPCA).en.srt |
12.51Кб |
| 052 PCA For Small Sample Size Problems(DualPCA).mp4 |
63.49Мб |
| 053 PCA vs SVD.en.srt |
12.95Кб |
| 053 PCA vs SVD.mp4 |
64.66Мб |
| 054 Kernel PCA.en.srt |
12.85Кб |
| 054 Kernel PCA.mp4 |
59.28Мб |
| 055 Kernel PCA vs ISOMAP.en.srt |
17.80Кб |
| 055 Kernel PCA vs ISOMAP.mp4 |
123.04Мб |
| 056 Kernel PCA vs The Rest.en.srt |
21.13Кб |
| 056 Kernel PCA vs The Rest.mp4 |
119.24Мб |
| 057 Encoder Decoder Networks For Dimensionality Reduction vs kernel PCA.en.srt |
19.95Кб |
| 057 Encoder Decoder Networks For Dimensionality Reduction vs kernel PCA.mp4 |
72.72Мб |
| 058 Supervised PCA and Fishers Linear Discriminant Analysis.en.srt |
19.01Кб |
| 058 Supervised PCA and Fishers Linear Discriminant Analysis.mp4 |
96.92Мб |
| 059 Supervised PCA and Fishers Linear Discriminant Analysis Activity.en.srt |
2.26Кб |
| 059 Supervised PCA and Fishers Linear Discriminant Analysis Activity.mp4 |
7.85Мб |
| 060 Dimensionality Reduction Pipelines Python Project.en.srt |
39.27Кб |
| 060 Dimensionality Reduction Pipelines Python Project.mp4 |
147.13Мб |
| 061 Categorical Features.en.srt |
8.21Кб |
| 061 Categorical Features.mp4 |
28.03Мб |
| 062 Categorical Features Python.en.srt |
8.03Кб |
| 062 Categorical Features Python.mp4 |
31.12Мб |
| 063 Text Features.en.srt |
11.54Кб |
| 063 Text Features.mp4 |
47.92Мб |
| 064 Image Features.en.srt |
12.15Кб |
| 064 Image Features.mp4 |
42.09Мб |
| 065 Derived Features.en.srt |
11.33Кб |
| 065 Derived Features.mp4 |
38.92Мб |
| 066 Derived Features Histogram Of Gradients Local Binary Patterns.en.srt |
10.00Кб |
| 066 Derived Features Histogram Of Gradients Local Binary Patterns.mp4 |
42.30Мб |
| 067 Feature Scaling.en.srt |
7.71Кб |
| 067 Feature Scaling.mp4 |
27.85Мб |
| 068 Activity-Feature Scaling.en.srt |
2.80Кб |
| 068 Activity-Feature Scaling.mp4 |
8.35Мб |
| 069 THANK YOU Bonus Video.en.srt |
2.64Кб |
| 069 THANK YOU Bonus Video.mp4 |
29.73Мб |
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28.04Кб |
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| TutsNode.com.txt |
63б |