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[] Udemy - Data Science and Machine Learning Bootcamp with R

  • 收录时间:2018-05-09 16:59:55
  • 文件大小:2GB
  • 下载次数:93
  • 最近下载:2020-06-26 07:31:56
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文件列表

  1. 18. Capstone Data Project/Lesson_79._Capstone_Project_Solutions_Walkthrough.mp4 54MB
  2. 19. Introduction to Machine Learning with R/Lesson_80._Introduction_to_Machine_Learning.mp4 49MB
  3. 21. Machine Learning Project - Linear Regression/Lesson_86._ML_-_Linear_Regression_Project_-_Solutions_Part_1.mp4 48MB
  4. 23. Machine Learning Project - Logistic Regression/Lesson_92._Logistic_Regression_Project_Solutions_-_Part_1.mp4 47MB
  5. 14. Data Manipulation with R/Lesson_63._Guide_to_Using_Tidyr.mp4 47MB
  6. 20. Machine Learning with R - Linear Regression/Lesson_82._Linear_Regression_with_R_-_Part_1.mp4 47MB
  7. 33. Machine Learning with R - Neural Nets/Lesson_117._Neural_Nets_with_R.mp4 46MB
  8. 20. Machine Learning with R - Linear Regression/Lesson_83._Linear_Regression_with_R_-_Part_2.mp4 46MB
  9. 15. Data Visualization with R/Lesson_65._Histograms.mp4 46MB
  10. 1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 46MB
  11. 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 46MB
  12. 22. Machine Learning with R - Logistic Regression/Lesson_90._Logistic_Regression_with_R_-_Part_2.mp4 41MB
  13. 24. Machine Learning with R - K Nearest Neighbors/Lesson_96._K_Nearest_Neighbors_with_R.mp4 40MB
  14. 22. Machine Learning with R - Logistic Regression/Lesson_89._Logistic_Regression_with_R_-_Part_1.mp4 40MB
  15. 15. Data Visualization with R/Lesson_66._Scatterplots.mp4 38MB
  16. 12. R Programming Basics/Lesson_50._Functions_Training_Exercise_-_Solutions.mp4 37MB
  17. 32. Machine Learning with R - Natural Language Processing/Lesson_115._Natural_Language_Processing_with_R_-_Part_2.mp4 36MB
  18. 12. R Programming Basics/Lesson_48._Functions.mp4 35MB
  19. 18. Capstone Data Project/Lesson_78._Introduction_to_Capstone_Project.mp4 35MB
  20. 9. R Data Frames/Lesson_32._Overview_of_Data_Frame_Operations_-_Part_2.mp4 34MB
  21. 21. Machine Learning Project - Linear Regression/Lesson_85._Introduction_to_Linear_Regression_Project.mp4 34MB
  22. 17. Interactive Visualizations with Plotly/Lesson_77._Overview_of_Plotly_and_Interactive_Visualizations.mp4 34MB
  23. 27. Machine Learning Project - Decision Trees and Random Forests/Lesson_102._Tree_Methods_Project_Solutions_-_Part_1.mp4 33MB
  24. 28. Machine Learning with R - Support Vector Machines/Lesson_105._Support_Vector_Machines_with_R.mp4 33MB
  25. 31. Machine Learning Project - K-means Clustering/Lesson_112._K_Means_Clustering_Project_-_Solutions_Walkthrough.mp4 33MB
  26. 23. Machine Learning Project - Logistic Regression/Lesson_93._Logistic_Regression_Project_Solutions_-_Part_2.mp4 33MB
  27. 16. Data Visualization Project/Lesson_75._Data_Visualization_Project_-_Solutions_Walkthrough_-_Part_1.mp4 33MB
  28. 23. Machine Learning Project - Logistic Regression/Lesson_94._Logistic_Regression_Project_-_Solutions_Part_3.mp4 32MB
  29. 16. Data Visualization Project/Lesson_76._Data_Visualization_Project_Solutions_Walkthrough_-_Part_2.mp4 32MB
  30. 9. R Data Frames/Lesson_31._Overview_of_Data_Frame_Operations_-_Part_1.mp4 30MB
  31. 9. R Data Frames/Lesson_34._Data_Frame_Training_Exercises_-_Solutions_Walkthrough.mp4 29MB
  32. 26. Machine Learning with R - Decision Trees and Random Forests/Lesson_100._Decision_Trees_and_Random_Forests_with_R.mp4 29MB
  33. 6. Development Environment Overview/Lesson_8._Guide_to_RStudio.mp4 28MB
  34. 13. Advanced R Programming/Lesson_53._Apply.mp4 28MB
  35. 21. Machine Learning Project - Linear Regression/Lesson_87._ML_-_Linear_Regression_Project_-_Solutions_Part_2.mp4 26MB
  36. 15. Data Visualization with R/Lesson_73._ggplot2_Exercise_Solutions.mp4 26MB
  37. 12. R Programming Basics/Lesson_43._if,_else,_and_else_if_Statements.mp4 26MB
  38. 6. Development Environment Overview/Lesson_7._Course_Notes.mp4 26MB
  39. 11. Data Input and Output with R/Lesson_39._SQL_with_R.mp4 25MB
  40. 25. Machine Learning Project - K Nearest Neighbors/Lesson_98._K_Nearest_Neighbors_Project_Solutions.mp4 25MB
  41. 14. Data Manipulation with R/Lesson_58._Guide_to_Using_Dplyr.mp4 25MB
  42. 8. R Matrices/Lesson_27._Matrix_Training_Exercises_-_Solutions_Walkthrough.mp4 25MB
  43. 11. Data Input and Output with R/Lesson_38._Excel_Files_with_R.mp4 24MB
  44. 29. Machine Learning Project - Support Vector Machines/Lesson_107._Support_Vector_Machines_Project_-_Solutions_Part_1.mp4 24MB
  45. 15. Data Visualization with R/Lesson_70._Coordinates_and_Faceting.mp4 24MB
  46. 13. Advanced R Programming/Lesson_56._Dates_and_Timestamps.mp4 24MB
  47. 12. R Programming Basics/Lesson_47._For_Loops.mp4 23MB
  48. 20. Machine Learning with R - Linear Regression/Lesson_84._Linear_Regression_with_R_-_Part_3.mp4 23MB
  49. 12. R Programming Basics/Lesson_45._Conditional_Statements_Training_Exercise_-_Solutions_Walkthrough.mp4 21MB
  50. 29. Machine Learning Project - Support Vector Machines/Lesson_108._Support_Vector_Machines_Project_-_Solutions_Part_2.mp4 21MB
  51. 4. Mac OS Installation Set-Up/Lesson_5._Mac_OS_Installation_Procedure.mp4 21MB
  52. 34. Machine Learning Project - Neural Nets/Lesson_119._Neural_Nets_Project_-_Solutions.mp4 21MB
  53. 14. Data Manipulation with R/Lesson_59._Guide_to_Using_Dplyr_-_Part_2.mp4 21MB
  54. 15. Data Visualization with R/Lesson_69._2_Variable_Plotting.mp4 20MB
  55. 22. Machine Learning with R - Logistic Regression/Lesson_88._Introduction_to_Logistic_Regression.mp4 20MB
  56. 10. R Lists/Lesson_35._List_Basics.mp4 20MB
  57. 30. Machine Learning with R - K-means Clustering/Lesson_110._K_Means_Clustering_with_R.mp4 19MB
  58. 8. R Matrices/Lesson_21._Creating_a_Matrix.mp4 19MB
  59. 9. R Data Frames/Lesson_29._Data_Frame_Basics.mp4 18MB
  60. 13. Advanced R Programming/Lesson_52._Built-in_R_Features.mp4 18MB
  61. 3. Windows Installation Set-Up/Lesson_4._Windows_Installation_Procedure.mp4 18MB
  62. 11. Data Input and Output with R/Lesson_40._Web_Scraping_with_R.mp4 17MB
  63. 9. R Data Frames/Lesson_30._Data_Frame_Indexing_and_Selection.mp4 17MB
  64. 15. Data Visualization with R/Lesson_67._Barplots.mp4 17MB
  65. 7. Introduction to R Basics/Lesson_15._Vector_Indexing_and_Slicing.mp4 16MB
  66. 8. R Matrices/Lesson_25._Factor_and_Categorical_Matrices.mp4 15MB
  67. 12. R Programming Basics/Lesson_42._Logical_Operators.mp4 15MB
  68. 15. Data Visualization with R/Lesson_68._Boxplots.mp4 14MB
  69. 14. Data Manipulation with R/Lesson_62._Dplyr_Training_Exercise_-_Solutions_Walkthrough.mp4 14MB
  70. 14. Data Manipulation with R/Lesson_60._Pipe_Operator.mp4 14MB
  71. 7. Introduction to R Basics/Lesson_13._Vector_Basics.mp4 14MB
  72. 7. Introduction to R Basics/Lesson_19._R_Basics_Training_Exercise_-_Solutions_Walkthrough.mp4 13MB
  73. 1. Course Introduction/Lesson_1._Introduction_to_Course.mp4 12MB
  74. 11. Data Input and Output with R/Lesson_37._CSV_Files_with_R.mp4 12MB
  75. 12. R Programming Basics/Lesson_46._While_Loops.mp4 12MB
  76. 15. Data Visualization with R/Lesson_64._Overview_of_ggplot2.mp4 12MB
  77. 8. R Matrices/Lesson_24._Matrix_Selection_and_Indexing.mp4 12MB
  78. 25. Machine Learning Project - K Nearest Neighbors/Lesson_97._Introduction_K_Nearest_Neighbors_Project.mp4 12MB
  79. 16. Data Visualization Project/Lesson_74._Data_Visualization_Project.mp4 12MB
  80. 26. Machine Learning with R - Decision Trees and Random Forests/Lesson_99._Introduction_to_Tree_Methods.mp4 11MB
  81. 15. Data Visualization with R/Lesson_71._Themes.mp4 11MB
  82. 33. Machine Learning with R - Neural Nets/Lesson_116._Introduction_to_Neural_Nets.mp4 11MB
  83. 8. R Matrices/Lesson_23._Matrix_Operations.mp4 11MB
  84. 7. Introduction to R Basics/Lesson_17._Comparison_Operators.mp4 11MB
  85. 32. Machine Learning with R - Natural Language Processing/Lesson_114._Natural_Language_Processing_with_R_-_Part_1.mp4 10MB
  86. 20. Machine Learning with R - Linear Regression/Lesson_81._Introduction_to_Linear_Regression.mp4 10MB
  87. 23. Machine Learning Project - Logistic Regression/Lesson_91._Introduction_to_Logistic_Regression_Project.mp4 10MB
  88. 13. Advanced R Programming/Lesson_55._Regular_Expressions.mp4 10MB
  89. 29. Machine Learning Project - Support Vector Machines/Lesson_106._Introduction_to_SVM_Project.mp4 9MB
  90. 13. Advanced R Programming/Lesson_54._Math_Functions_with_R.mp4 9MB
  91. 27. Machine Learning Project - Decision Trees and Random Forests/Lesson_103._Tree_Methods_Project_Solutions_-_Part_2.mp4 9MB
  92. 7. Introduction to R Basics/Lesson_12._R_Basic_Data_Types.mp4 9MB
  93. 7. Introduction to R Basics/Lesson_11._Variables.mp4 9MB
  94. 30. Machine Learning with R - K-means Clustering/Lesson_109._Introduction_to_K-Means_Clustering.mp4 9MB
  95. 24. Machine Learning with R - K Nearest Neighbors/Lesson_95._Introduction_to_K_Nearest_Neighbors.mp4 9MB
  96. 27. Machine Learning Project - Decision Trees and Random Forests/Lesson_101._Introduction_to_Decision_Trees_and_Random_Forests_Project.mp4 8MB
  97. 34. Machine Learning Project - Neural Nets/Lesson_118._Introduction_to_Neural_Nets_Project.mp4 8MB
  98. 28. Machine Learning with R - Support Vector Machines/Lesson_104._Introduction_to_Support_Vector_Machines.mp4 8MB
  99. 8. R Matrices/Lesson_22._Matrix_Arithmetic.mp4 8MB
  100. 7. Introduction to R Basics/Lesson_10._Arithmetic_in_R.mp4 8MB
  101. 32. Machine Learning with R - Natural Language Processing/Lesson_113._Introduction_to_Natural_Language_Processing.mp4 8MB
  102. 7. Introduction to R Basics/Lesson_14._Vector_Operations.mp4 8MB
  103. 31. Machine Learning Project - K-means Clustering/Lesson_111._Introduction_to_K_Means_Clustering_Project.mp4 7MB
  104. 1. Course Introduction/Lesson_3._What_is_Data_Science_.mp4 7MB
  105. 15. Data Visualization with R/Lesson_72._ggplot2_Exercises.mp4 7MB
  106. 12. R Programming Basics/Lesson_49._Functions_Training_Exercise.mp4 7MB
  107. 1. Course Introduction/Lesson_2._Course_Curriculum.mp4 6MB
  108. 7. Introduction to R Basics/Lesson_16._Getting_Help_with_R_and_RStudio.mp4 6MB
  109. 7. Introduction to R Basics/Lesson_9._Introduction_to_R_Basics.mp4 6MB
  110. 7. Introduction to R Basics/Lesson_18._R_Basics_Training_Exercise.mp4 5MB
  111. 9. R Data Frames/Lesson_33._Data_Frame_Training_Exercise.mp4 4MB
  112. 12. R Programming Basics/Lesson_44._Conditional_Statements_Training_Exercise.mp4 3MB
  113. 8. R Matrices/Lesson_26._Matrix_Training_Exercise.mp4 3MB
  114. 19. Introduction to Machine Learning with R/2.1 Machine Learning Slides.zip.zip 3MB
  115. 14. Data Manipulation with R/Lesson_61._Dplyr_Training_Exercise.mp4 3MB
  116. 12. R Programming Basics/Lesson_41._Introduction_to_Programming_Basics.mp4 2MB
  117. 13. Advanced R Programming/Lesson_51._Introduction_to_Advanced_R_Programming.mp4 2MB
  118. 8. R Matrices/Lesson_20._Introduction_to_R_Matrices.mp4 1MB
  119. 9. R Data Frames/Lesson_28._Introduction_to_R_Data_Frames.mp4 1MB
  120. 14. Data Manipulation with R/Lesson_57._Data_Manipulation_Overview.mp4 1MB
  121. 6. Development Environment Overview/Lesson_6._Development_Environment_Overview.mp4 870KB
  122. 11. Data Input and Output with R/Lesson_36._Introduction_to_Data_Input_and_Output_with_R.mp4 870KB
  123. 35. Bonus Section - Discounts for Other Courses/1. Bonus Lecture Coupons.html 4KB
  124. 2. Course Best Practices/1. How to Get Help in the Course!.html 2KB
  125. 5. Linux Installation/1. LinuxUnbuntu Installation Procedure.html 2KB
  126. 1. Course Introduction/4. Course FAQ.html 1KB
  127. 17. Interactive Visualizations with Plotly/2. Resources for Plotly and ggplot2.html 1KB
  128. 19. Introduction to Machine Learning with R/1. ISLR PDF.html 559B
  129. 2. Course Best Practices/3. Installation and Set-Up.html 501B
  130. 14. Data Manipulation with R/5. Quick note on Dpylr exercise.html 475B
  131. 2. Course Best Practices/2. Welcome to the Course..html 155B
  132. 8. R Matrices/4.1 Reference of Built-in Functions.html 117B