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[] [UDEMY] Complete Data Wrangling & Data Visualisation With Python [FTU]

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  • 文件大小:3GB
  • 下载次数:50
  • 最近下载:2020-12-20 12:00:59
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文件列表

  1. 8. Most Common Data Visualizations/4. Barplot.mp4 171MB
  2. 2. Read in Data From Different Sources With Pandas/4. Read in HTML Data.mp4 130MB
  3. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data and Code.zip.zip 123MB
  4. 8. Most Common Data Visualizations/6. Line Charts.mp4 117MB
  5. 8. Most Common Data Visualizations/3. Scatter plot-Relationship Between Two Numerical Variables.mp4 107MB
  6. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4 105MB
  7. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPythonJupyter.mp4 103MB
  8. 5. More Data Wrangling/2. Data Subsetting and Indexing.mp4 102MB
  9. 8. Most Common Data Visualizations/1. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4 99MB
  10. 5. More Data Wrangling/1. Data Grouping.mp4 98MB
  11. 5. More Data Wrangling/8. Merging and Joining.mp4 97MB
  12. 3. Data Cleaning/5. Theory Behind k-NN Algorithm.mp4 96MB
  13. 2. Read in Data From Different Sources With Pandas/1. What are Pandas.mp4 85MB
  14. 5. More Data Wrangling/6. Ranking & Sorting.mp4 82MB
  15. 8. Most Common Data Visualizations/9. And Some More.mp4 79MB
  16. 8. Most Common Data Visualizations/8. Some More Plot Types.mp4 76MB
  17. 5. More Data Wrangling/7. Concatenate.mp4 70MB
  18. 5. More Data Wrangling/3. More Data Subsetting.mp4 69MB
  19. 7. Theory Behind Data Visualisation/1. What is Data Visualisation.mp4 68MB
  20. 7. Theory Behind Data Visualisation/2. Some Theoretical Principles Behind Data Visualisation.mp4 66MB
  21. 4. Basic Data Wrangling/2. Preliminary Data Explorations.mp4 65MB
  22. 6. Feature Selection and Transformation/1. Correlation Analysis.mp4 56MB
  23. 3. Data Cleaning/3. Data Imputation.mp4 56MB
  24. 3. Data Cleaning/1. Remove NA Values.mp4 56MB
  25. 9. Miscallaneous Information/1. Using Colabs as an Online Jupyter Notebook.mp4 55MB
  26. 2. Read in Data From Different Sources With Pandas/2. Read CSV Data.mp4 54MB
  27. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.mp4 50MB
  28. 4. Basic Data Wrangling/3. Basic Data Handling With Conditional Statements.mp4 49MB
  29. 4. Basic Data Wrangling/4. Drop ColumnRow.mp4 48MB
  30. 3. Data Cleaning/6. Use k-NN for Data Imputation.mp4 44MB
  31. 2. Read in Data From Different Sources With Pandas/3. Read Excel Data.mp4 42MB
  32. 8. Most Common Data Visualizations/2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.mp4 41MB
  33. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. ipython in Browser.mp4 40MB
  34. 6. Feature Selection and Transformation/8. Create a New Feature.mp4 40MB
  35. 6. Feature Selection and Transformation/3. Univariate Feature Selection.mp4 39MB
  36. 5. More Data Wrangling/4. Extract Information From Strings.mp4 38MB
  37. 8. Most Common Data Visualizations/5. Pie Chart.mp4 38MB
  38. 3. Data Cleaning/2. Missing Values in a Real Dataset.mp4 37MB
  39. 6. Feature Selection and Transformation/4. Recursive Feature Elimination (RFE).mp4 37MB
  40. 6. Feature Selection and Transformation/2. Using Correlation to Decide Which Features to Retain.mp4 34MB
  41. 6. Feature Selection and Transformation/7. Data Standardisation.mp4 32MB
  42. 6. Feature Selection and Transformation/6. Implement PCA.mp4 27MB
  43. 4. Basic Data Wrangling/1. Basic Principles.mp4 27MB
  44. 4. Basic Data Wrangling/8. Simple Date Related Computations.mp4 25MB
  45. 4. Basic Data Wrangling/5. Change Column Name.mp4 25MB
  46. 4. Basic Data Wrangling/7. Explore Date Related Data.mp4 25MB
  47. 6. Feature Selection and Transformation/5. Theory Behind PCA.mp4 24MB
  48. 4. Basic Data Wrangling/6. Change the Column Type.mp4 23MB
  49. 3. Data Cleaning/4. Imputing Qualitative Values.mp4 21MB
  50. 8. Most Common Data Visualizations/7. More Line Charts.mp4 19MB
  51. 5. More Data Wrangling/5. (Fuzzy) String Matching.mp4 19MB
  52. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/1. Welcome to the Course.mp4 12MB
  53. 8. Most Common Data Visualizations/4. Barplot.vtt 23KB
  54. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPythonJupyter.vtt 17KB
  55. 8. Most Common Data Visualizations/3. Scatter plot-Relationship Between Two Numerical Variables.vtt 12KB
  56. 8. Most Common Data Visualizations/6. Line Charts.vtt 12KB
  57. 8. Most Common Data Visualizations/1. Histograms-Visualize the Distribution of Continuous Numerical Variables.vtt 12KB
  58. 2. Read in Data From Different Sources With Pandas/4. Read in HTML Data.vtt 11KB
  59. 5. More Data Wrangling/8. Merging and Joining.vtt 11KB
  60. 8. Most Common Data Visualizations/8. Some More Plot Types.vtt 11KB
  61. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.vtt 10KB
  62. 7. Theory Behind Data Visualisation/1. What is Data Visualisation.vtt 10KB
  63. 2. Read in Data From Different Sources With Pandas/1. What are Pandas.vtt 10KB
  64. 3. Data Cleaning/3. Data Imputation.vtt 9KB
  65. 6. Feature Selection and Transformation/1. Correlation Analysis.vtt 9KB
  66. 5. More Data Wrangling/1. Data Grouping.vtt 8KB
  67. 8. Most Common Data Visualizations/9. And Some More.vtt 8KB
  68. 5. More Data Wrangling/3. More Data Subsetting.vtt 8KB
  69. 5. More Data Wrangling/7. Concatenate.vtt 8KB
  70. 4. Basic Data Wrangling/2. Preliminary Data Explorations.vtt 8KB
  71. 5. More Data Wrangling/2. Data Subsetting and Indexing.vtt 8KB
  72. 5. More Data Wrangling/6. Ranking & Sorting.vtt 7KB
  73. 7. Theory Behind Data Visualisation/2. Some Theoretical Principles Behind Data Visualisation.vtt 7KB
  74. 3. Data Cleaning/5. Theory Behind k-NN Algorithm.vtt 7KB
  75. 9. Miscallaneous Information/1. Using Colabs as an Online Jupyter Notebook.vtt 7KB
  76. 3. Data Cleaning/1. Remove NA Values.vtt 6KB
  77. 3. Data Cleaning/2. Missing Values in a Real Dataset.vtt 6KB
  78. 3. Data Cleaning/6. Use k-NN for Data Imputation.vtt 6KB
  79. 8. Most Common Data Visualizations/5. Pie Chart.vtt 6KB
  80. 6. Feature Selection and Transformation/8. Create a New Feature.vtt 6KB
  81. 2. Read in Data From Different Sources With Pandas/2. Read CSV Data.vtt 6KB
  82. 8. Most Common Data Visualizations/2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.vtt 5KB
  83. 6. Feature Selection and Transformation/2. Using Correlation to Decide Which Features to Retain.vtt 5KB
  84. 4. Basic Data Wrangling/1. Basic Principles.vtt 5KB
  85. 6. Feature Selection and Transformation/3. Univariate Feature Selection.vtt 5KB
  86. 4. Basic Data Wrangling/4. Drop ColumnRow.vtt 4KB
  87. 5. More Data Wrangling/4. Extract Information From Strings.vtt 4KB
  88. 6. Feature Selection and Transformation/7. Data Standardisation.vtt 4KB
  89. 4. Basic Data Wrangling/3. Basic Data Handling With Conditional Statements.vtt 4KB
  90. 6. Feature Selection and Transformation/6. Implement PCA.vtt 4KB
  91. 6. Feature Selection and Transformation/4. Recursive Feature Elimination (RFE).vtt 4KB
  92. 4. Basic Data Wrangling/6. Change the Column Type.vtt 4KB
  93. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.vtt 4KB
  94. 4. Basic Data Wrangling/8. Simple Date Related Computations.vtt 4KB
  95. 4. Basic Data Wrangling/7. Explore Date Related Data.vtt 4KB
  96. 4. Basic Data Wrangling/5. Change Column Name.vtt 4KB
  97. 2. Read in Data From Different Sources With Pandas/3. Read Excel Data.vtt 4KB
  98. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. ipython in Browser.vtt 3KB
  99. 3. Data Cleaning/4. Imputing Qualitative Values.vtt 3KB
  100. 6. Feature Selection and Transformation/5. Theory Behind PCA.vtt 3KB
  101. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/1. Welcome to the Course.vtt 3KB
  102. 5. More Data Wrangling/5. (Fuzzy) String Matching.vtt 3KB
  103. 8. Most Common Data Visualizations/7. More Line Charts.vtt 2KB
  104. 0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url 328B
  105. 0. Websites you may like/5. (Discuss.FTUForum.com) FTU Discussion Forum.url 294B
  106. 0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286B
  107. 0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url 239B
  108. 0. Websites you may like/How you can help Team-FTU.txt 237B
  109. 0. Websites you may like/3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url 163B
  110. 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2. Data & Script For the Course.html 123B