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[] Lynda - Python Statistics Essential Training

  • 收录时间:2018-08-24 05:01:22
  • 文件大小:431MB
  • 下载次数:82
  • 最近下载:2021-01-13 13:36:41
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文件列表

  1. 2.2. Importing and Cleaning Data/11.Data cleaning.mp4 33MB
  2. 3.3. Visualizing and Describing Data/21.Personal email analytics.mp4 29MB
  3. 3.3. Visualizing and Describing Data/18.More quantitative variables.mp4 21MB
  4. 3.3. Visualizing and Describing Data/14.The power of visualization.mp4 20MB
  5. 4.4. Introduction to Statistical Inference/27.Hypothesis testing.mp4 20MB
  6. 5.5. Introduction to Statistical Modeling/36.Bayesian inference.mp4 19MB
  7. 2.2. Importing and Cleaning Data/10.Introducing pandas.mp4 19MB
  8. 3.3. Visualizing and Describing Data/16.Plot distributions.mp4 19MB
  9. 4.4. Introduction to Statistical Inference/25.Confidence intervals.mp4 17MB
  10. 4.4. Introduction to Statistical Inference/26.Bootstrapping.mp4 17MB
  11. 3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.mp4 17MB
  12. 5.5. Introduction to Statistical Modeling/32.Fitting models to data.mp4 16MB
  13. 5.5. Introduction to Statistical Modeling/33.Goodness of fit.mp4 14MB
  14. 4.4. Introduction to Statistical Inference/28.p values and confidence intervals.mp4 13MB
  15. 5.5. Introduction to Statistical Modeling/34.Cross validation.mp4 13MB
  16. 3.3. Visualizing and Describing Data/19.Describe categorical variables.mp4 12MB
  17. 3.3. Visualizing and Describing Data/20.Plot categorical variables.mp4 12MB
  18. 2.2. Importing and Cleaning Data/09.Create tidy data tables.mp4 11MB
  19. 5.5. Introduction to Statistical Modeling/35.Logistic regression.mp4 11MB
  20. 1.1. Installation and Setup/05.Install Anaconda Python on Windows.mp4 10MB
  21. 2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.mp4 10MB
  22. 3.3. Visualizing and Describing Data/15.Describe distributions.mp4 9MB
  23. 1.1. Installation and Setup/07.Using Python in the cloud.mp4 9MB
  24. 1.1. Installation and Setup/04.Install Anaconda Python on OS X.mp4 8MB
  25. 0.Introduction/01.Welcome.mp4 7MB
  26. 1.1. Installation and Setup/06.Working with Jupyter Notebook.mp4 7MB
  27. 3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.mp4 5MB
  28. 4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.mp4 4MB
  29. 5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.mp4 4MB
  30. 2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.mp4 3MB
  31. 2.2. Importing and Cleaning Data/08.The structure of data.mp4 3MB
  32. 0.Introduction/03.Using the exercise files.mp4 3MB
  33. 6.Conclusion/39.Next steps.mp4 3MB
  34. 4.4. Introduction to Statistical Inference/24.Statistical inference.mp4 3MB
  35. 5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.mp4 3MB
  36. 5.5. Introduction to Statistical Modeling/31.Statistical modeling.mp4 2MB
  37. 3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.mp4 1MB
  38. 0.Introduction/02.What you need to know.mp4 1MB
  39. 4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.mp4 1MB
  40. 2.2. Importing and Cleaning Data/11.Data cleaning.en.srt 13KB
  41. 4.4. Introduction to Statistical Inference/25.Confidence intervals.en.srt 12KB
  42. 5.5. Introduction to Statistical Modeling/36.Bayesian inference.en.srt 11KB
  43. 3.3. Visualizing and Describing Data/21.Personal email analytics.en.srt 11KB
  44. 5.5. Introduction to Statistical Modeling/32.Fitting models to data.en.srt 10KB
  45. 4.4. Introduction to Statistical Inference/27.Hypothesis testing.en.srt 9KB
  46. 3.3. Visualizing and Describing Data/14.The power of visualization.en.srt 8KB
  47. 2.2. Importing and Cleaning Data/10.Introducing pandas.en.srt 8KB
  48. 3.3. Visualizing and Describing Data/16.Plot distributions.en.srt 8KB
  49. 5.5. Introduction to Statistical Modeling/33.Goodness of fit.en.srt 8KB
  50. 4.4. Introduction to Statistical Inference/26.Bootstrapping.en.srt 8KB
  51. 5.5. Introduction to Statistical Modeling/35.Logistic regression.en.srt 7KB
  52. 3.3. Visualizing and Describing Data/18.More quantitative variables.en.srt 7KB
  53. 5.5. Introduction to Statistical Modeling/34.Cross validation.en.srt 7KB
  54. 2.2. Importing and Cleaning Data/09.Create tidy data tables.en.srt 7KB
  55. 3.3. Visualizing and Describing Data/15.Describe distributions.en.srt 7KB
  56. 3.3. Visualizing and Describing Data/17.Plots of two quantitative variables.en.srt 6KB
  57. 4.4. Introduction to Statistical Inference/28.p values and confidence intervals.en.srt 6KB
  58. 3.3. Visualizing and Describing Data/19.Describe categorical variables.en.srt 6KB
  59. 1.1. Installation and Setup/04.Install Anaconda Python on OS X.en.srt 5KB
  60. 3.3. Visualizing and Describing Data/20.Plot categorical variables.en.srt 4KB
  61. 1.1. Installation and Setup/05.Install Anaconda Python on Windows.en.srt 4KB
  62. 2.2. Importing and Cleaning Data/13.✓ Solution - Personal email analytics.en.srt 4KB
  63. 1.1. Installation and Setup/06.Working with Jupyter Notebook.en.srt 4KB
  64. 1.1. Installation and Setup/07.Using Python in the cloud.en.srt 3KB
  65. 6.Conclusion/39.Next steps.en.srt 3KB
  66. 2.2. Importing and Cleaning Data/08.The structure of data.en.srt 3KB
  67. 5.5. Introduction to Statistical Modeling/31.Statistical modeling.en.srt 3KB
  68. 4.4. Introduction to Statistical Inference/24.Statistical inference.en.srt 2KB
  69. 0.Introduction/01.Welcome.en.srt 2KB
  70. 3.3. Visualizing and Describing Data/23.✓ Solution - More email analytics.en.srt 2KB
  71. 2.2. Importing and Cleaning Data/12.✓ Challenge - Personal email analytics.en.srt 2KB
  72. 4.4. Introduction to Statistical Inference/30.✓ Solution - Bootstrapping grades.en.srt 2KB
  73. 0.Introduction/02.What you need to know.en.srt 2KB
  74. 0.Introduction/03.Using the exercise files.en.srt 1KB
  75. 5.5. Introduction to Statistical Modeling/38.✓ Solution - Explaining baby weight at birth.en.srt 1KB
  76. 5.5. Introduction to Statistical Modeling/37.✓ Challenge - Explaining baby weight at birth.en.srt 1KB
  77. 3.3. Visualizing and Describing Data/22.✓ Challenge - More email analytics.en.srt 526B
  78. 4.4. Introduction to Statistical Inference/29.✓ Challenge - Bootstrapping grades.en.srt 476B
  79. [FreeCourseSite.com].url 127B
  80. [CourseClub.NET].url 123B
  81. [DesireCourse.Com].url 51B