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[] data-science-and-machine-learning-bootcamp-with-r

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文件列表

  1. 04 Mac OS Installation Set-Up/008 Mac OS Installation Procedure.mp4 71MB
  2. 18 Capstone Data Project/085 Capstone Project Solutions Walkthrough.mp4 63MB
  3. 19 Introduction to Machine Learning with R/087 Introduction to Machine Learning.mp4 60MB
  4. 21 Machine Learning Project - Linear Regression/093 ML - Linear Regression Project - Solutions Part 1.mp4 60MB
  5. 14 Data Manipulation with R/068 Guide to Using Tidyr.mp4 58MB
  6. 15 Data Visualization with R/070 Histograms.mp4 57MB
  7. 23 Machine Learning Project - Logistic Regression/099 Logistic Regression Project Solutions - Part 1.mp4 56MB
  8. 20 Machine Learning with R - Linear Regression/089 Linear Regression with R - Part 1.mp4 56MB
  9. 33 Machine Learning with R - Neural Nets/124 Neural Nets with R.mp4 55MB
  10. 20 Machine Learning with R - Linear Regression/090 Linear Regression with R - Part 2.mp4 54MB
  11. 22 Machine Learning with R - Logistic Regression/097 Logistic Regression with R - Part 2.mp4 48MB
  12. 24 Machine Learning with R - K Nearest Neighbors/103 K Nearest Neighbors with R.mp4 47MB
  13. 21 Machine Learning Project - Linear Regression/092 Introduction to Linear Regression Project.mp4 46MB
  14. 22 Machine Learning with R - Logistic Regression/096 Logistic Regression with R - Part 1.mp4 46MB
  15. 01 Course Introduction/attached_files/004 Course FAQ/R-Course-HTML-Notes.zip 46MB
  16. 06 Development Environment Overview/attached_files/011 Course Notes/R-Course-HTML-Notes.zip 46MB
  17. 18 Capstone Data Project/084 Introduction to Capstone Project.mp4 46MB
  18. 15 Data Visualization with R/071 Scatterplots.mp4 45MB
  19. 12 R Programming Basics/054 Functions Training Exercise - Solutions.mp4 43MB
  20. 32 Machine Learning with R - Natural Language Processing/122 Natural Language Processing with R - Part 2.mp4 43MB
  21. 17 Interactive Visualizations with Plotly/082 Overview of Plotly and Interactive Visualizations.mp4 43MB
  22. 16 Data Visualization Project/080 Data Visualization Project - Solutions Walkthrough - Part 1.mp4 42MB
  23. 16 Data Visualization Project/081 Data Visualization Project Solutions Walkthrough - Part 2.mp4 41MB
  24. 12 R Programming Basics/052 Functions.mp4 41MB
  25. 28 Machine Learning with R - Support Vector Machines/112 Support Vector Machines with R.mp4 40MB
  26. 09 R Data Frames/036 Overview of Data Frame Operations - Part 2.mp4 39MB
  27. 27 Machine Learning Project - Decision Trees and Random Forests/109 Tree Methods Project Solutions - Part 1.mp4 39MB
  28. 23 Machine Learning Project - Logistic Regression/100 Logistic Regression Project Solutions - Part 2.mp4 39MB
  29. 31 Machine Learning Project - K-means Clustering/119 K Means Clustering Project - Solutions Walkthrough.mp4 38MB
  30. 23 Machine Learning Project - Logistic Regression/101 Logistic Regression Project - Solutions Part 3.mp4 38MB
  31. 06 Development Environment Overview/012 Guide to RStudio.mp4 35MB
  32. 09 R Data Frames/035 Overview of Data Frame Operations - Part 1.mp4 35MB
  33. 26 Machine Learning with R - Decision Trees and Random Forests/107 Decision Trees and Random Forests with R.mp4 34MB
  34. 09 R Data Frames/038 Data Frame Training Exercises - Solutions Walkthrough.mp4 34MB
  35. 11 Data Input and Output with R/043 SQL with R.mp4 33MB
  36. 21 Machine Learning Project - Linear Regression/094 ML - Linear Regression Project - Solutions Part 2.mp4 33MB
  37. 13 Advanced R Programming/057 Apply.mp4 31MB
  38. 06 Development Environment Overview/011 Course Notes.mp4 31MB
  39. 15 Data Visualization with R/078 ggplot2 Exercise Solutions.mp4 31MB
  40. 25 Machine Learning Project - K Nearest Neighbors/105 K Nearest Neighbors Project Solutions.mp4 30MB
  41. 14 Data Manipulation with R/062 Guide to Using Dplyr.mp4 29MB
  42. 12 R Programming Basics/047 if else and else if Statements.mp4 29MB
  43. 29 Machine Learning Project - Support Vector Machines/114 Support Vector Machines Project - Solutions Part 1.mp4 28MB
  44. 08 R Matrices/031 Matrix Training Exercises - Solutions Walkthrough.mp4 28MB
  45. 15 Data Visualization with R/075 Coordinates and Faceting.mp4 28MB
  46. 13 Advanced R Programming/060 Dates and Timestamps.mp4 28MB
  47. 11 Data Input and Output with R/042 Excel Files with R.mp4 28MB
  48. 12 R Programming Basics/051 For Loops.mp4 27MB
  49. 20 Machine Learning with R - Linear Regression/091 Linear Regression with R - Part 3.mp4 26MB
  50. 34 Machine Learning Project - Neural Nets/126 Neural Nets Project - Solutions.mp4 26MB
  51. 15 Data Visualization with R/074 2 Variable Plotting.mp4 25MB
  52. 03 Windows Installation Set-Up/007 Windows Installation Procedure.mp4 25MB
  53. 29 Machine Learning Project - Support Vector Machines/115 Support Vector Machines Project - Solutions Part 2.mp4 24MB
  54. 12 R Programming Basics/049 Conditional Statements Training Exercise - Solutions Walkthrough.mp4 24MB
  55. 14 Data Manipulation with R/063 Guide to Using Dplyr - Part 2.mp4 24MB
  56. 11 Data Input and Output with R/044 Web Scraping with R.mp4 23MB
  57. 30 Machine Learning with R - K-means Clustering/117 K Means Clustering with R.mp4 23MB
  58. 22 Machine Learning with R - Logistic Regression/095 Introduction to Logistic Regression.mp4 22MB
  59. 10 R Lists/039 List Basics.mp4 22MB
  60. 09 R Data Frames/033 Data Frame Basics.mp4 21MB
  61. 08 R Matrices/025 Creating a Matrix.mp4 21MB
  62. 13 Advanced R Programming/056 Built-in R Features.mp4 20MB
  63. 15 Data Visualization with R/072 Barplots.mp4 20MB
  64. 09 R Data Frames/034 Data Frame Indexing and Selection.mp4 19MB
  65. 07 Introduction to R Basics/019 Vector Indexing and Slicing.mp4 18MB
  66. 01 Course Introduction/001 Introduction to Course.mp4 17MB
  67. 08 R Matrices/029 Factor and Categorical Matrices.mp4 17MB
  68. 15 Data Visualization with R/073 Boxplots.mp4 17MB
  69. 14 Data Manipulation with R/064 Pipe Operator.mp4 17MB
  70. 12 R Programming Basics/046 Logical Operators.mp4 16MB
  71. 14 Data Manipulation with R/067 Dplyr Training Exercise - Solutions Walkthrough.mp4 16MB
  72. 07 Introduction to R Basics/017 Vector Basics.mp4 15MB
  73. 16 Data Visualization Project/079 Data Visualization Project.mp4 15MB
  74. 07 Introduction to R Basics/023 R Basics Training Exercise - Solutions Walkthrough.mp4 15MB
  75. 25 Machine Learning Project - K Nearest Neighbors/104 Introduction K Nearest Neighbors Project.mp4 15MB
  76. 11 Data Input and Output with R/041 CSV Files with R.mp4 14MB
  77. 12 R Programming Basics/050 While Loops.mp4 14MB
  78. 23 Machine Learning Project - Logistic Regression/098 Introduction to Logistic Regression Project.mp4 13MB
  79. 15 Data Visualization with R/076 Themes.mp4 13MB
  80. 15 Data Visualization with R/069 Overview of ggplot2.mp4 13MB
  81. 08 R Matrices/028 Matrix Selection and Indexing.mp4 13MB
  82. 13 Advanced R Programming/058 Math Functions with R.mp4 13MB
  83. 08 R Matrices/027 Matrix Operations.mp4 13MB
  84. 33 Machine Learning with R - Neural Nets/123 Introduction to Neural Nets.mp4 13MB
  85. 32 Machine Learning with R - Natural Language Processing/121 Natural Language Processing with R - Part 1.mp4 13MB
  86. 26 Machine Learning with R - Decision Trees and Random Forests/106 Introduction to Tree Methods.mp4 12MB
  87. 07 Introduction to R Basics/021 Comparison Operators.mp4 12MB
  88. 20 Machine Learning with R - Linear Regression/088 Introduction to Linear Regression.mp4 12MB
  89. 29 Machine Learning Project - Support Vector Machines/113 Introduction to SVM Project.mp4 12MB
  90. 34 Machine Learning Project - Neural Nets/125 Introduction to Neural Nets Project.mp4 11MB
  91. 13 Advanced R Programming/059 Regular Expressions.mp4 11MB
  92. 27 Machine Learning Project - Decision Trees and Random Forests/110 Tree Methods Project Solutions - Part 2.mp4 10MB
  93. 27 Machine Learning Project - Decision Trees and Random Forests/108 Introduction to Decision Trees and Random Forests Project.mp4 10MB
  94. 07 Introduction to R Basics/016 R Basic Data Types.mp4 10MB
  95. 07 Introduction to R Basics/015 Variables.mp4 10MB
  96. 30 Machine Learning with R - K-means Clustering/116 Introduction to K-Means Clustering.mp4 10MB
  97. 24 Machine Learning with R - K Nearest Neighbors/102 Introduction to K Nearest Neighbors.mp4 9MB
  98. 28 Machine Learning with R - Support Vector Machines/111 Introduction to Support Vector Machines.mp4 9MB
  99. 08 R Matrices/026 Matrix Arithmetic.mp4 9MB
  100. 31 Machine Learning Project - K-means Clustering/118 Introduction to K Means Clustering Project.mp4 9MB
  101. 12 R Programming Basics/053 Functions Training Exercise.mp4 9MB
  102. 07 Introduction to R Basics/014 Arithmetic in R.mp4 8MB
  103. 07 Introduction to R Basics/018 Vector Operations.mp4 8MB
  104. 15 Data Visualization with R/077 ggplot2 Exercises.mp4 8MB
  105. 32 Machine Learning with R - Natural Language Processing/120 Introduction to Natural Language Processing.mp4 8MB
  106. 01 Course Introduction/003 What is Data Science.mp4 8MB
  107. 07 Introduction to R Basics/020 Getting Help with R and RStudio.mp4 7MB
  108. 01 Course Introduction/002 Course Curriculum.mp4 7MB
  109. 07 Introduction to R Basics/022 R Basics Training Exercise.mp4 7MB
  110. 07 Introduction to R Basics/013 Introduction to R Basics.mp4 6MB
  111. 09 R Data Frames/037 Data Frame Training Exercise.mp4 5MB
  112. 12 R Programming Basics/048 Conditional Statements Training Exercise.mp4 4MB
  113. 08 R Matrices/030 Matrix Training Exercise.mp4 4MB
  114. 14 Data Manipulation with R/066 Dplyr Training Exercise.mp4 3MB
  115. 19 Introduction to Machine Learning with R/attached_files/087 Introduction to Machine Learning/Machine-Learning-Slides.zip 3MB
  116. 12 R Programming Basics/045 Introduction to Programming Basics.mp4 2MB
  117. 13 Advanced R Programming/055 Introduction to Advanced R Programming.mp4 2MB
  118. 08 R Matrices/024 Introduction to R Matrices.mp4 2MB
  119. 09 R Data Frames/032 Introduction to R Data Frames.mp4 1MB
  120. 14 Data Manipulation with R/061 Data Manipulation Overview.mp4 1MB
  121. 06 Development Environment Overview/010 Development Environment Overview.mp4 1MB
  122. 11 Data Input and Output with R/040 Introduction to Data Input and Output with R.mp4 1MB
  123. 02 Course Best Practices/quizzes/001 Welcome to the Course..html 3KB
  124. 02 Course Best Practices/005 How to Get Help in the Course.html 2KB
  125. 05 Linux Installation/009 LinuxUnbuntu Installation Procedure.html 2KB
  126. 35 Bonus Section - Discounts for Other Courses/127 Bonus Discount Coupons.html 2KB
  127. 01 Course Introduction/004 Course FAQ.html 2KB
  128. 17 Interactive Visualizations with Plotly/083 Resources for Plotly and ggplot2.html 1KB
  129. 19 Introduction to Machine Learning with R/086 ISLR PDF.html 671B
  130. 02 Course Best Practices/006 Installation and Set-Up.html 628B
  131. 14 Data Manipulation with R/065 Quick note on Dpylr exercise.html 607B
  132. Freetutorials.us.url 119B
  133. [FreeTutorials.us].txt 75B