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

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视频 2021-7-14 07:52 2025-4-27 21:42 178 2.77 GB 119
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FreeCourseSite com Udemy - Data Science and Machine Learning Bootcamp with R

文件列表
  1. 1. Course Introduction/1. Introduction to Course.mp417.36MB
  2. 1. Course Introduction/2. Course Curriculum.mp46.72MB
  3. 1. Course Introduction/3. What is Data Science.mp47.8MB
  4. 10. R Lists/1. List Basics.mp421.9MB
  5. 11. Data Input and Output with R/1. Introduction to Data Input and Output with R.mp41MB
  6. 11. Data Input and Output with R/2. CSV Files with R.mp414.06MB
  7. 11. Data Input and Output with R/4. Excel Files with R.mp427.7MB
  8. 11. Data Input and Output with R/5. SQL with R.mp433.44MB
  9. 11. Data Input and Output with R/6. Web Scraping with R.mp422.79MB
  10. 12. R Programming Basics/1. Introduction to Programming Basics.mp41.88MB
  11. 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp443.39MB
  12. 12. R Programming Basics/2. Logical Operators.mp416.19MB
  13. 12. R Programming Basics/3. if, else, and else if Statements.mp429.16MB
  14. 12. R Programming Basics/4. Conditional Statements Training Exercise.mp44.35MB
  15. 12. R Programming Basics/5. Conditional Statements Training Exercise - Solutions Walkthrough.mp424.2MB
  16. 12. R Programming Basics/6. While Loops.mp413.55MB
  17. 12. R Programming Basics/7. For Loops.mp426.55MB
  18. 12. R Programming Basics/8. Functions.mp440.63MB
  19. 12. R Programming Basics/9. Functions Training Exercise.mp48.57MB
  20. 13. Advanced R Programming/1. Introduction to Advanced R Programming.mp41.79MB
  21. 13. Advanced R Programming/2. Built-in R Features.mp420.4MB
  22. 13. Advanced R Programming/3. Apply.mp431.4MB
  23. 13. Advanced R Programming/4. Math Functions with R.mp412.96MB
  24. 13. Advanced R Programming/5. Regular Expressions.mp411.03MB
  25. 13. Advanced R Programming/6. Dates and Timestamps.mp427.85MB
  26. 14. Data Manipulation with R/1. Data Manipulation Overview.mp41.25MB
  27. 14. Data Manipulation with R/2. Guide to Using Dplyr.mp429.44MB
  28. 14. Data Manipulation with R/3. Guide to Using Dplyr - Part 2.mp424.15MB
  29. 14. Data Manipulation with R/4. Pipe Operator.mp416.63MB
  30. 14. Data Manipulation with R/6. Dplyr Training Exercise.mp43.1MB
  31. 14. Data Manipulation with R/7. Dplyr Training Exercise - Solutions Walkthrough.mp415.64MB
  32. 14. Data Manipulation with R/8. Guide to Using Tidyr.mp457.73MB
  33. 15. Data Visualization with R/1. Overview of ggplot2.mp413.33MB
  34. 15. Data Visualization with R/10. ggplot2 Exercise Solutions.mp430.53MB
  35. 15. Data Visualization with R/2. Histograms.mp456.96MB
  36. 15. Data Visualization with R/3. Scatterplots.mp445.19MB
  37. 15. Data Visualization with R/4. Barplots.mp419.97MB
  38. 15. Data Visualization with R/5. Boxplots.mp416.69MB
  39. 15. Data Visualization with R/6. 2 Variable Plotting.mp424.74MB
  40. 15. Data Visualization with R/7. Coordinates and Faceting.mp428.05MB
  41. 15. Data Visualization with R/8. Themes.mp413.36MB
  42. 15. Data Visualization with R/9. ggplot2 Exercises.mp48.32MB
  43. 16. Data Visualization Project/1. Data Visualization Project.mp415.24MB
  44. 16. Data Visualization Project/2. Data Visualization Project - Solutions Walkthrough - Part 1.mp442.02MB
  45. 16. Data Visualization Project/3. Data Visualization Project Solutions Walkthrough - Part 2.mp441.47MB
  46. 17. Interactive Visualizations with Plotly/1. Overview of Plotly and Interactive Visualizations.mp442.52MB
  47. 18. Capstone Data Project/1. Introduction to Capstone Project.mp445.51MB
  48. 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp463.29MB
  49. 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp459.75MB
  50. 20. Machine Learning with R - Linear Regression/1. Introduction to Linear Regression.mp411.56MB
  51. 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp455.61MB
  52. 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp453.99MB
  53. 20. Machine Learning with R - Linear Regression/4. Linear Regression with R - Part 3.mp426.3MB
  54. 21. Machine Learning Project - Linear Regression/1. Introduction to Linear Regression Project.mp446.51MB
  55. 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp459.54MB
  56. 21. Machine Learning Project - Linear Regression/3. ML - Linear Regression Project - Solutions Part 2.mp432.73MB
  57. 22. Machine Learning with R - Logistic Regression/1. Introduction to Logistic Regression.mp421.91MB
  58. 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp446.34MB
  59. 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp447.57MB
  60. 23. Machine Learning Project - Logistic Regression/1. Introduction to Logistic Regression Project.mp413.38MB
  61. 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp456.28MB
  62. 23. Machine Learning Project - Logistic Regression/3. Logistic Regression Project Solutions - Part 2.mp438.64MB
  63. 23. Machine Learning Project - Logistic Regression/4. Logistic Regression Project - Solutions Part 3.mp437.63MB
  64. 24. Machine Learning with R - K Nearest Neighbors/1. Introduction to K Nearest Neighbors.mp49.27MB
  65. 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp446.74MB
  66. 25. Machine Learning Project - K Nearest Neighbors/1. Introduction K Nearest Neighbors Project.mp414.69MB
  67. 25. Machine Learning Project - K Nearest Neighbors/2. K Nearest Neighbors Project Solutions.mp430.42MB
  68. 26. Machine Learning with R - Decision Trees and Random Forests/1. Introduction to Tree Methods.mp412.48MB
  69. 26. Machine Learning with R - Decision Trees and Random Forests/2. Decision Trees and Random Forests with R.mp434.4MB
  70. 27. Machine Learning Project - Decision Trees and Random Forests/1. Introduction to Decision Trees and Random Forests Project.mp410.16MB
  71. 27. Machine Learning Project - Decision Trees and Random Forests/2. Tree Methods Project Solutions - Part 1.mp438.86MB
  72. 27. Machine Learning Project - Decision Trees and Random Forests/3. Tree Methods Project Solutions - Part 2.mp410.49MB
  73. 28. Machine Learning with R - Support Vector Machines/1. Introduction to Support Vector Machines.mp48.97MB
  74. 28. Machine Learning with R - Support Vector Machines/2. Support Vector Machines with R.mp439.57MB
  75. 29. Machine Learning Project - Support Vector Machines/1. Introduction to SVM Project.mp411.5MB
  76. 29. Machine Learning Project - Support Vector Machines/2. Support Vector Machines Project - Solutions Part 1.mp428.49MB
  77. 29. Machine Learning Project - Support Vector Machines/3. Support Vector Machines Project - Solutions Part 2.mp424.31MB
  78. 3. Windows Installation Set-Up/1. Windows Installation Procedure.mp424.52MB
  79. 30. Machine Learning with R - K-means Clustering/1. Introduction to K-Means Clustering.mp49.58MB
  80. 30. Machine Learning with R - K-means Clustering/2. K Means Clustering with R.mp422.53MB
  81. 31. Machine Learning Project - K-means Clustering/1. Introduction to K Means Clustering Project.mp48.81MB
  82. 31. Machine Learning Project - K-means Clustering/2. K Means Clustering Project - Solutions Walkthrough.mp438.21MB
  83. 32. Machine Learning with R - Natural Language Processing/1. Introduction to Natural Language Processing.mp48.3MB
  84. 32. Machine Learning with R - Natural Language Processing/2. Natural Language Processing with R - Part 1.mp412.62MB
  85. 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp442.85MB
  86. 33. Machine Learning with R - Neural Nets/1. Introduction to Neural Nets.mp412.65MB
  87. 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp454.77MB
  88. 34. Machine Learning Project - Neural Nets/1. Introduction to Neural Nets Project.mp411.09MB
  89. 34. Machine Learning Project - Neural Nets/2. Neural Nets Project - Solutions.mp425.52MB
  90. 4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp471.47MB
  91. 6. Development Environment Overview/1. Development Environment Overview.mp41.11MB
  92. 6. Development Environment Overview/2. Course Notes.mp431.06MB
  93. 6. Development Environment Overview/3. Guide to RStudio.mp435.06MB
  94. 7. Introduction to R Basics/1. Introduction to R Basics.mp46.44MB
  95. 7. Introduction to R Basics/10. R Basics Training Exercise.mp46.53MB
  96. 7. Introduction to R Basics/11. R Basics Training Exercise - Solutions Walkthrough.mp414.75MB
  97. 7. Introduction to R Basics/2. Arithmetic in R.mp48.49MB
  98. 7. Introduction to R Basics/3. Variables.mp49.9MB
  99. 7. Introduction to R Basics/4. R Basic Data Types.mp49.93MB
  100. 7. Introduction to R Basics/5. Vector Basics.mp415.26MB
  101. 7. Introduction to R Basics/6. Vector Operations.mp48.44MB
  102. 7. Introduction to R Basics/7. Comparison Operators.mp411.85MB
  103. 7. Introduction to R Basics/8. Vector Indexing and Slicing.mp417.9MB
  104. 7. Introduction to R Basics/9. Getting Help with R and RStudio.mp46.81MB
  105. 8. R Matrices/1. Introduction to R Matrices.mp41.61MB
  106. 8. R Matrices/2. Creating a Matrix.mp421.25MB
  107. 8. R Matrices/3. Matrix Arithmetic.mp48.85MB
  108. 8. R Matrices/4. Matrix Operations.mp412.84MB
  109. 8. R Matrices/5. Matrix Selection and Indexing.mp413.31MB
  110. 8. R Matrices/6. Factor and Categorical Matrices.mp417MB
  111. 8. R Matrices/7. Matrix Training Exercise.mp43.84MB
  112. 8. R Matrices/8. Matrix Training Exercises - Solutions Walkthrough.mp428.1MB
  113. 9. R Data Frames/1. Introduction to R Data Frames.mp41.49MB
  114. 9. R Data Frames/2. Data Frame Basics.mp421.46MB
  115. 9. R Data Frames/3. Data Frame Indexing and Selection.mp419.02MB
  116. 9. R Data Frames/4. Overview of Data Frame Operations - Part 1.mp434.59MB
  117. 9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp438.92MB
  118. 9. R Data Frames/6. Data Frame Training Exercise.mp44.99MB
  119. 9. R Data Frames/7. Data Frame Training Exercises - Solutions Walkthrough.mp434.06MB
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