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409.6 B
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001 Introduction To Instructor.en.srt
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001 Introduction To Instructor.mp4
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1
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002 Focus of the Course.en.srt
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002 Focus of the Course.mp4
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003 Request for Your Honest Review.en.srt
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003 Request for Your Honest Review.mp4
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004 Link to Github to get the Python Notebooks.html
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005 Introduction to Feature in Data Science.mp4
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005 Introduction to Feature in Data Science.en.srt
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006 Marking Facial Features.en.srt
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006 Marking Facial Features.mp4
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35 MB
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007 Feature Space.en.srt
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007 Feature Space.mp4
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008 Features Dimensions.mp4
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008 Features Dimensions.en.srt
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009 Features Dimensions Activity.mp4
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009 Features Dimensions Activity.en.srt
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010 Why Dimensionality Reduction.en.srt
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010 Why Dimensionality Reduction.mp4
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011 Activity-Dimensionality Reduction.en.srt
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011 Activity-Dimensionality Reduction.mp4
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012 Feature Dimensionality Reduction Methods.en.srt
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012 Feature Dimensionality Reduction Methods.mp4
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013 Why Feature Selection.en.srt
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013 Why Feature Selection.mp4
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014 Feature Selection Methods.en.srt
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014 Feature Selection Methods.mp4
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015 Filter Methods.en.srt
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015 Filter Methods.mp4
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016 Wrapper Methods.en.srt
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016 Wrapper Methods.mp4
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017 Embedded Methods.en.srt
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017 Embedded Methods.mp4
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018 Search Strategy.en.srt
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018 Search Strategy.mp4
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019 Search Strategy Activity.en.srt
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019 Search Strategy Activity.mp4
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020 Statistical Based Methods.en.srt
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020 Statistical Based Methods.mp4
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021 Information Theoratic Methods.mp4
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021 Information Theoratic Methods.en.srt
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022 Similarity Based Methods Introduction.en.srt
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022 Similarity Based Methods Introduction.mp4
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023 Similarity Based Methods Criteria.en.srt
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023 Similarity Based Methods Criteria.mp4
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024 Activity- Feature Selection in Python.en.srt
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024 Activity- Feature Selection in Python.mp4
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025 Activity- Feature Selection.en.srt
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025 Activity- Feature Selection.mp4
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25
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26
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026 Introduction to Mathematical Foundation of Feature Selection.en.srt
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026 Introduction to Mathematical Foundation of Feature Selection.mp4
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027 Closure Of A Set.en.srt
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027 Closure Of A Set.mp4
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028 Linear Combinations.en.srt
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028 Linear Combinations.mp4
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029 Linear Independence.en.srt
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029 Linear Independence.mp4
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030 Vector Space.en.srt
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030 Vector Space.mp4
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031 Basis and Dimensions.en.srt
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031 Basis and Dimensions.mp4
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032 Coordinates vs Dimensions.en.srt
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032 Coordinates vs Dimensions.mp4
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33
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033 SubSpace.en.srt
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033 SubSpace.mp4
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034 Orthonormal Basis.en.srt
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034 Orthonormal Basis.mp4
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035 Matrix Product.en.srt
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035 Matrix Product.mp4
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036 Least Squares.en.srt
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036 Least Squares.mp4
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36
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37
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037 Rank.en.srt
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037 Rank.mp4
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038 Eigen Space.en.srt
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038 Eigen Space.mp4
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39
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039 Positive Semi Definite Matrix.en.srt
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039 Positive Semi Definite Matrix.mp4
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55.5 MB
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040 Singular Value Decomposition SVD.en.srt
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040 Singular Value Decomposition SVD.mp4
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40
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41
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041 Lagrange Multipliers.en.srt
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041 Lagrange Multipliers.mp4
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042 Vector Derivatives.en.srt
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042 Vector Derivatives.mp4
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33.7 MB
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043 Linear Algebra Module Python.mp4
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043 Linear Algebra Module Python.en.srt
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044 Activity-Linear Algebra Module Python.en.srt
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044 Activity-Linear Algebra Module Python.mp4
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44
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045 Feature Extraction Introduction.en.srt
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045 Feature Extraction Introduction.mp4
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046 PCA Introduction.mp4
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046 PCA Introduction.en.srt
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047 PCA Criteria.en.srt
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047 PCA Criteria.mp4
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048 PCA Properties.en.srt
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048 PCA Properties.mp4
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049 PCA Max Variance Formulation.en.srt
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049 PCA Max Variance Formulation.mp4
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050 PCA Derivation.mp4
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050 PCA Derivation.en.srt
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051 PCA Implementation.en.srt
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051 PCA Implementation.mp4
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052 PCA For Small Sample Size Problems(DualPCA).en.srt
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052 PCA For Small Sample Size Problems(DualPCA).mp4
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053 PCA vs SVD.en.srt
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053 PCA vs SVD.mp4
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054 Kernel PCA.en.srt
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054 Kernel PCA.mp4
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055 Kernel PCA vs ISOMAP.en.srt
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055 Kernel PCA vs ISOMAP.mp4
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056 Kernel PCA vs The Rest.en.srt
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056 Kernel PCA vs The Rest.mp4
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057 Encoder Decoder Networks For Dimensionality Reduction vs kernel PCA.en.srt
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057 Encoder Decoder Networks For Dimensionality Reduction vs kernel PCA.mp4
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058 Supervised PCA and Fishers Linear Discriminant Analysis.en.srt
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058 Supervised PCA and Fishers Linear Discriminant Analysis.mp4
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059 Supervised PCA and Fishers Linear Discriminant Analysis Activity.en.srt
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059 Supervised PCA and Fishers Linear Discriminant Analysis Activity.mp4
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060 Dimensionality Reduction Pipelines Python Project.en.srt
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060 Dimensionality Reduction Pipelines Python Project.mp4
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061 Categorical Features.en.srt
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061 Categorical Features.mp4
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062 Categorical Features Python.en.srt
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062 Categorical Features Python.mp4
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063 Text Features.en.srt
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063 Text Features.mp4
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064 Image Features.mp4
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064 Image Features.en.srt
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065 Derived Features.mp4
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TutsNode.com.txt
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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62
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065 Derived Features.en.srt
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066 Derived Features Histogram Of Gradients Local Binary Patterns.en.srt
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066 Derived Features Histogram Of Gradients Local Binary Patterns.mp4
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067 Feature Scaling.en.srt
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067 Feature Scaling.mp4
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068 Activity-Feature Scaling.en.srt
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068 Activity-Feature Scaling.mp4
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069 THANK YOU Bonus Video.en.srt
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069 THANK YOU Bonus Video.mp4
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