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LinkedIn Learning - Code Clinic R [CoursesGhar]

  • 收录时间:2021-09-06 03:22:23
  • 文件大小:247MB
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文件列表

  1. [4] 3. Problem Three Eight Queens/[5] Filtering for diagonal conflicts.mp4 21MB
  2. [2] 1. Problem One Weather Statistics/[3] Importing data from GitHub.mp4 20MB
  3. [3] 2. Problem Two Where Am I/[3] Retrieving my latitude and longitude.mp4 15MB
  4. [4] 3. Problem Three Eight Queens/[6] Efficiently storing the results.mp4 13MB
  5. [7] 6. Problem Six Real-Time Information Dashboard/[5] Using the Shiny client to render data.mp4 11MB
  6. [2] 1. Problem One Weather Statistics/[4] Calculating the coefficient of barometric pressure.mp4 11MB
  7. [7] 6. Problem Six Real-Time Information Dashboard/[1] Introduction Real-time information dashboard.mp4 10MB
  8. [5] 4. Problem Four Musical Instrument/[3] Use TclTk and sonify( ) for a theremin.mp4 10MB
  9. [7] 6. Problem Six Real-Time Information Dashboard/[4] Using an R package for data and functions.mp4 9MB
  10. [4] 3. Problem Three Eight Queens/[4] Setting up to exclude rows.mp4 8MB
  11. [1] Introduction/[1] Welcome.mp4 8MB
  12. [6] 5. Problem Five Facial Recognition/[3] Sending an image to Microsoft Cognitive Services Face API.mp4 8MB
  13. [3] 2. Problem Two Where Am I/[1] Introduction Where am I.mp4 8MB
  14. [2] 1. Problem One Weather Statistics/[2] Overview of linear models solution.mp4 7MB
  15. [2] 1. Problem One Weather Statistics/[1] Introduction The weather at Lake Pend Oreille.mp4 7MB
  16. [5] 4. Problem Four Musical Instrument/[1] Introduction Accessing peripherals.mp4 7MB
  17. [7] 6. Problem Six Real-Time Information Dashboard/[3] Using Shiny Server to serve data values.mp4 7MB
  18. [3] 2. Problem Two Where Am I/[4] Mapping my location.mp4 7MB
  19. [4] 3. Problem Three Eight Queens/[1] Introduction Eight queens.mp4 7MB
  20. [4] 3. Problem Three Eight Queens/[3] Modeling the problem to exclude columns.mp4 6MB
  21. [4] 3. Problem Three Eight Queens/[7] Plotting the result.mp4 6MB
  22. [2] 1. Problem One Weather Statistics/[5] Plotting the pressure and fit line.mp4 6MB
  23. [6] 5. Problem Five Facial Recognition/[1] Introduction Facial recognition.mp4 6MB
  24. [6] 5. Problem Five Facial Recognition/[4] Rendering the image with face boxes.mp4 5MB
  25. [6] 5. Problem Five Facial Recognition/[2] Overview of facial recognition solution.mp4 5MB
  26. [6] 5. Problem Five Facial Recognition/[5] Saving the results in JSON.mp4 5MB
  27. [7] 6. Problem Six Real-Time Information Dashboard/[2] Overview of dashboard solution.mp4 4MB
  28. [5] 4. Problem Four Musical Instrument/[2] Overview of accessing peripherals solution.mp4 4MB
  29. [3] 2. Problem Two Where Am I/[2] Overview of geolocation solution.mp4 3MB
  30. [4] 3. Problem Three Eight Queens/[2] Overview of eight queens solution.mp4 3MB
  31. [1] Introduction/[2] Getting the most from Code Clinic.mp4 2MB
  32. [2] 1. Problem One Weather Statistics/[3] Importing data from GitHub.srt 10KB
  33. [4] 3. Problem Three Eight Queens/[5] Filtering for diagonal conflicts.srt 9KB
  34. [3] 2. Problem Two Where Am I/[3] Retrieving my latitude and longitude.srt 8KB
  35. [4] 3. Problem Three Eight Queens/[6] Efficiently storing the results.srt 7KB
  36. [2] 1. Problem One Weather Statistics/[4] Calculating the coefficient of barometric pressure.srt 6KB
  37. [5] 4. Problem Four Musical Instrument/[3] Use TclTk and sonify( ) for a theremin.srt 5KB
  38. [7] 6. Problem Six Real-Time Information Dashboard/[5] Using the Shiny client to render data.srt 5KB
  39. [4] 3. Problem Three Eight Queens/[4] Setting up to exclude rows.srt 5KB
  40. [7] 6. Problem Six Real-Time Information Dashboard/[4] Using an R package for data and functions.srt 5KB
  41. [2] 1. Problem One Weather Statistics/[2] Overview of linear models solution.srt 4KB
  42. [7] 6. Problem Six Real-Time Information Dashboard/[3] Using Shiny Server to serve data values.srt 4KB
  43. [3] 2. Problem Two Where Am I/[4] Mapping my location.srt 4KB
  44. [7] 6. Problem Six Real-Time Information Dashboard/[1] Introduction Real-time information dashboard.srt 4KB
  45. [2] 1. Problem One Weather Statistics/[5] Plotting the pressure and fit line.srt 4KB
  46. [4] 3. Problem Three Eight Queens/[3] Modeling the problem to exclude columns.srt 4KB
  47. [6] 5. Problem Five Facial Recognition/[3] Sending an image to Microsoft Cognitive Services Face API.srt 3KB
  48. [5] 4. Problem Four Musical Instrument/[1] Introduction Accessing peripherals.srt 3KB
  49. [4] 3. Problem Three Eight Queens/[7] Plotting the result.srt 3KB
  50. [3] 2. Problem Two Where Am I/[1] Introduction Where am I.srt 3KB
  51. [6] 5. Problem Five Facial Recognition/[2] Overview of facial recognition solution.srt 3KB
  52. [2] 1. Problem One Weather Statistics/[1] Introduction The weather at Lake Pend Oreille.srt 3KB
  53. [4] 3. Problem Three Eight Queens/[1] Introduction Eight queens.srt 3KB
  54. [6] 5. Problem Five Facial Recognition/[1] Introduction Facial recognition.srt 3KB
  55. [6] 5. Problem Five Facial Recognition/[5] Saving the results in JSON.srt 3KB
  56. [6] 5. Problem Five Facial Recognition/[4] Rendering the image with face boxes.srt 3KB
  57. [1] Introduction/[1] Welcome.srt 2KB
  58. [5] 4. Problem Four Musical Instrument/[2] Overview of accessing peripherals solution.srt 2KB
  59. [7] 6. Problem Six Real-Time Information Dashboard/[2] Overview of dashboard solution.srt 2KB
  60. [3] 2. Problem Two Where Am I/[2] Overview of geolocation solution.srt 2KB
  61. [1] Introduction/[2] Getting the most from Code Clinic.srt 2KB
  62. [4] 3. Problem Three Eight Queens/[2] Overview of eight queens solution.srt 2KB
  63. Uploaded by [Coursesghar.com].txt 1KB
  64. !! IMPORTANT Note !!.txt 287B
  65. !!! Please Support !!! [CoursesGhar.Com].txt 197B
  66. telegram @coursesghargate.url 128B
  67. 00. Websites You May Like/CoursesGhar.Com.url 114B
  68. 00. Websites You May Like/New Internet Shortcut.url 114B
  69. Visit coursesghar.com for more awesome tutorials.url 114B