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[] Udemy - R Programming Hands-on Specialization for Data Science (Lv1)

  • 收录时间:2020-02-19 01:32:52
  • 文件大小:1GB
  • 下载次数:26
  • 最近下载:2020-12-31 06:41:00
  • 磁力链接:

文件列表

  1. 9. Data Science Application in R - Automated Web Scraping Bot/2. Web Scraping - One Simple yet Powerful Way to do so!.mp4 34MB
  2. 9. Data Science Application in R - Automated Web Scraping Bot/34. Advanced Data Frames Manipulation.mp4 34MB
  3. 7. R Data Structure - Data Frames/6. Data Frames - Everything you need to know about Subsetting.mp4 30MB
  4. 7. R Data Structure - Data Frames/8. Data Frames - Imputing Missing Values like Pros!.mp4 28MB
  5. 2. R Fundamentals/3. R Basics - Working Directory, Environment Variables and more!.mp4 28MB
  6. 7. R Data Structure - Data Frames/9. Data Frames - Advanced Subsetting Techniques for robust analytics.mp4 26MB
  7. 9. Data Science Application in R - Automated Web Scraping Bot/33. Advanced Data Munging - Discretizing Continuous Values.mp4 26MB
  8. 7. R Data Structure - Data Frames/2. Data Frames - Creation and important functions for Basic Exploratory Analysis.mp4 25MB
  9. 9. Data Science Application in R - Automated Web Scraping Bot/3. Web Scraping - Use Case Custom Churn Analysis.mp4 25MB
  10. 5. R Data Structure - Matrices/3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).mp4 24MB
  11. 9. Data Science Application in R - Automated Web Scraping Bot/1. Web Scraping - Setting Context + Highlighting Use-Cases.mp4 24MB
  12. 9. Data Science Application in R - Automated Web Scraping Bot/6. Use Case Custom Churn - Performing Data Cleansing.mp4 24MB
  13. 4. R Data Structure - Vectors/1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.mp4 23MB
  14. 1. Introduction/2. Why you should learn R.mp4 23MB
  15. 9. Data Science Application in R - Automated Web Scraping Bot/23. Systematic analysis of website for efficient Scraping.mp4 22MB
  16. 8. R Control Structures/2. For Loops in R - Intro and Practical Use-Cases.mp4 22MB
  17. 9. Data Science Application in R - Automated Web Scraping Bot/35. Orchestrating Automation of Web Scraping Routine.mp4 21MB
  18. 9. Data Science Application in R - Automated Web Scraping Bot/8. Web Scraping - Contextual Understanding of HTML Tags.mp4 21MB
  19. 7. R Data Structure - Data Frames/7. Data Frames - Handling Missing Values like Pros!.mp4 20MB
  20. 4. R Data Structure - Vectors/3. Vectors - Understanding Indexing like never before!.mp4 20MB
  21. 4. R Data Structure - Vectors/4. Vectors - Indexing (Out of Bound scenarios) and How Pros use it!.mp4 19MB
  22. 7. R Data Structure - Data Frames/1. Data Frames - Introducing The holy grail of processing Structured Data.mp4 19MB
  23. 8. R Control Structures/4. If Else Structures in R (2).mp4 18MB
  24. 3. R Data Types/1. R Atomic Data Types Intro - What you must know about Numeric and Integers in R.mp4 18MB
  25. 9. Data Science Application in R - Automated Web Scraping Bot/11. Web Scraping on Steroids - XPath in R!.mp4 18MB
  26. 5. R Data Structure - Matrices/1. Matrices - Getting Acquainted, Creation and its operational functions!.mp4 18MB
  27. 7. R Data Structure - Data Frames/3. Data Frames - More Important Functions for Basic Exploratory Analysis.mp4 17MB
  28. 4. R Data Structure - Vectors/6. Vectors - Labels and their Advanced Usage in Indexing.mp4 17MB
  29. 3. R Data Types/7. Atomic Data Types and Nuances in Coercioning (ExplicitImplicit).mp4 16MB
  30. 6. R Data Structure - Lists/7. List - Advanced Indexing also using Labels.mp4 16MB
  31. 1. Introduction/3. What you will learn in this course.mp4 15MB
  32. 5. R Data Structure - Matrices/7. Matrices - Even more Advanced Indexing!.mp4 14MB
  33. 3. R Data Types/5. Character Data Type (Atomic) + Important Data Transformation Functions (3).mp4 14MB
  34. 9. Data Science Application in R - Automated Web Scraping Bot/22. Web Scraping Pipeline - Deep dive of workflow pattern.mp4 14MB
  35. 2. R Fundamentals/1. Installing R (console) and RStudio (IDE).mp4 14MB
  36. 9. Data Science Application in R - Automated Web Scraping Bot/25. Starting Selenium Server - The right way!.mp4 13MB
  37. 2. R Fundamentals/4. R Basics - Loading and Executing R scripts from local file system.mp4 12MB
  38. 5. R Data Structure - Matrices/2. Matrices - Creation and Implications related to its Dimensions.mp4 12MB
  39. 6. R Data Structure - Lists/1. Lists - Getting Introduced to one of the most powerful data structures in R.mp4 11MB
  40. 5. R Data Structure - Matrices/8. Matrices - Operations!.mp4 11MB
  41. 6. R Data Structure - Lists/6. Lists - Nuances in Determining Length and Class of Elements.mp4 11MB
  42. 4. R Data Structure - Vectors/2. Vectors - Comparing different ways to create vectors in R!.mp4 11MB
  43. 4. R Data Structure - Vectors/5. Vectors - Flatness property and its critical implications in Indexing!.mp4 11MB
  44. 9. Data Science Application in R - Automated Web Scraping Bot/18. Automated Web Scraping - Initialising RSelenium Server.mp4 11MB
  45. 4. R Data Structure - Vectors/7. Vectors - Assigning Attributes and its use-case as Metadata.mp4 11MB
  46. 9. Data Science Application in R - Automated Web Scraping Bot/21. Web Scraping Use Case Context Setting.mp4 11MB
  47. 9. Data Science Application in R - Automated Web Scraping Bot/7. Web Scraping - Contextual understanding of HTML.mp4 10MB
  48. 8. R Control Structures/1. While Loops in R.mp4 10MB
  49. 6. R Data Structure - Lists/8. List - Comparison of Indexing ways and Implications.mp4 10MB
  50. 3. R Data Types/2. Complex and Character Data Types (Atomic).mp4 10MB
  51. 9. Data Science Application in R - Automated Web Scraping Bot/24. Installing and Loading RSelenium.mp4 10MB
  52. 9. Data Science Application in R - Automated Web Scraping Bot/17. Automated Web Scraping - installing RSelenium in R.mp4 9MB
  53. 6. R Data Structure - Lists/2. Lists - Comparing with Vectors w.r.t Heterogeneity and Introducing Indexing.mp4 9MB
  54. 9. Data Science Application in R - Automated Web Scraping Bot/15. Automating Web Scraping - RSelenium!.mp4 9MB
  55. 3. R Data Types/3. Character Data Type (Atomic) + Important Data Transformation Functions (1).mp4 8MB
  56. 6. R Data Structure - Lists/4. Lists - Converting to and from Vectors and implications (coercion, flatness).mp4 8MB
  57. 8. R Control Structures/3. If Else Structures in R.mp4 8MB
  58. 3. R Data Types/6. Logical Data Type (Atomic) and Its known Implications.mp4 8MB
  59. 6. R Data Structure - Lists/5. Lists - Nuances in Determining Length in the context of Recursiveness.mp4 8MB
  60. 5. R Data Structure - Matrices/6. Matrices - Advanced Indexing using DimensionNames.mp4 8MB
  61. 5. R Data Structure - Matrices/4. Matrices - Dimensions (Advanced) and Intro to Indexing.mp4 8MB
  62. 3. R Data Types/4. Character Data Type (Atomic) + Important Data Transformation Functions (2).mp4 7MB
  63. 6. R Data Structure - Lists/3. Lists - Comprehending their Recursive Nature in comparison with Vectors.mp4 7MB
  64. 5. R Data Structure - Matrices/5. Matrices - Indexing Continued.mp4 7MB
  65. 8. R Control Structures/5. If Else Structures in R (3).mp4 6MB
  66. 7. R Data Structure - Data Frames/5. Data Frames - Creation from Lists, Matrices and Vectors.mp4 6MB
  67. 1. Introduction/1. Warm Welcome!.mp4 5MB
  68. 7. R Data Structure - Data Frames/4. Data Frames - Creation from Lists.mp4 4MB
  69. 9. Data Science Application in R - Automated Web Scraping Bot/26. Handling RSelenium's Driver Issues.mp4 4MB
  70. 2. R Fundamentals/2. Getting to know R - Setting Context.mp4 4MB
  71. 9. Data Science Application in R - Automated Web Scraping Bot/12. Web Scraping on Steroids - XPath in R (2).mp4 2MB
  72. 5. R Data Structure - Matrices/1.1 r_matrices.pdf.pdf 226KB
  73. 9. Data Science Application in R - Automated Web Scraping Bot/15.1 r_selenium.pdf.pdf 224KB
  74. 9. Data Science Application in R - Automated Web Scraping Bot/11.1 r_xpath.pdf.pdf 224KB
  75. 3. R Data Types/1.1 r_data_types_1.pdf.pdf 189KB
  76. 9. Data Science Application in R - Automated Web Scraping Bot/7.1 r_html.pdf.pdf 157KB
  77. 2. R Fundamentals/1.1 1_R_intro.pdf.pdf 153KB
  78. 9. Data Science Application in R - Automated Web Scraping Bot/1.1 r_web_scraping.pdf.pdf 145KB
  79. 4. R Data Structure - Vectors/1.1 r_vectors.pdf.pdf 135KB
  80. 7. R Data Structure - Data Frames/1.1 r_data_frames.pdf.pdf 130KB
  81. 6. R Data Structure - Lists/1.1 r_lists.pdf.pdf 118KB
  82. 7. R Data Structure - Data Frames/6. Data Frames - Everything you need to know about Subsetting.vtt 19KB
  83. 7. R Data Structure - Data Frames/8. Data Frames - Imputing Missing Values like Pros!.vtt 17KB
  84. 5. R Data Structure - Matrices/3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).vtt 17KB
  85. 7. R Data Structure - Data Frames/2. Data Frames - Creation and important functions for Basic Exploratory Analysis.vtt 16KB
  86. 2. R Fundamentals/3. R Basics - Working Directory, Environment Variables and more!.vtt 16KB
  87. 9. Data Science Application in R - Automated Web Scraping Bot/1. Web Scraping - Setting Context + Highlighting Use-Cases.vtt 15KB
  88. 4. R Data Structure - Vectors/1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.vtt 15KB
  89. 7. R Data Structure - Data Frames/9. Data Frames - Advanced Subsetting Techniques for robust analytics.vtt 15KB
  90. 9. Data Science Application in R - Automated Web Scraping Bot/2. Web Scraping - One Simple yet Powerful Way to do so!.vtt 14KB
  91. 8. R Control Structures/2. For Loops in R - Intro and Practical Use-Cases.vtt 14KB
  92. 9. Data Science Application in R - Automated Web Scraping Bot/34. Advanced Data Frames Manipulation.vtt 14KB
  93. 1. Introduction/2. Why you should learn R.vtt 13KB
  94. 9. Data Science Application in R - Automated Web Scraping Bot/6. Use Case Custom Churn - Performing Data Cleansing.vtt 13KB
  95. 9. Data Science Application in R - Automated Web Scraping Bot/8. Web Scraping - Contextual Understanding of HTML Tags.vtt 13KB
  96. 5. R Data Structure - Matrices/1. Matrices - Getting Acquainted, Creation and its operational functions!.vtt 13KB
  97. 4. R Data Structure - Vectors/4. Vectors - Indexing (Out of Bound scenarios) and How Pros use it!.vtt 12KB
  98. 7. R Data Structure - Data Frames/7. Data Frames - Handling Missing Values like Pros!.vtt 12KB
  99. 7. R Data Structure - Data Frames/1. Data Frames - Introducing The holy grail of processing Structured Data.vtt 11KB
  100. 9. Data Science Application in R - Automated Web Scraping Bot/33. Advanced Data Munging - Discretizing Continuous Values.vtt 11KB
  101. 7. R Data Structure - Data Frames/3. Data Frames - More Important Functions for Basic Exploratory Analysis.vtt 11KB
  102. 3. R Data Types/1. R Atomic Data Types Intro - What you must know about Numeric and Integers in R.vtt 11KB
  103. 4. R Data Structure - Vectors/3. Vectors - Understanding Indexing like never before!.vtt 11KB
  104. 3. R Data Types/7. Atomic Data Types and Nuances in Coercioning (ExplicitImplicit).vtt 11KB
  105. 9. Data Science Application in R - Automated Web Scraping Bot/3. Web Scraping - Use Case Custom Churn Analysis.vtt 10KB
  106. 8. R Control Structures/4. If Else Structures in R (2).vtt 10KB
  107. 1. Introduction/3. What you will learn in this course.vtt 10KB
  108. 6. R Data Structure - Lists/7. List - Advanced Indexing also using Labels.vtt 10KB
  109. 2. R Fundamentals/1. Installing R (console) and RStudio (IDE).vtt 9KB
  110. 9. Data Science Application in R - Automated Web Scraping Bot/22. Web Scraping Pipeline - Deep dive of workflow pattern.vtt 9KB
  111. 9. Data Science Application in R - Automated Web Scraping Bot/11. Web Scraping on Steroids - XPath in R!.vtt 9KB
  112. 4. R Data Structure - Vectors/6. Vectors - Labels and their Advanced Usage in Indexing.vtt 9KB
  113. 5. R Data Structure - Matrices/7. Matrices - Even more Advanced Indexing!.vtt 9KB
  114. 3. R Data Types/5. Character Data Type (Atomic) + Important Data Transformation Functions (3).vtt 9KB
  115. 9. Data Science Application in R - Automated Web Scraping Bot/35. Orchestrating Automation of Web Scraping Routine.vtt 9KB
  116. 5. R Data Structure - Matrices/2. Matrices - Creation and Implications related to its Dimensions.vtt 8KB
  117. 5. R Data Structure - Matrices/8. Matrices - Operations!.vtt 8KB
  118. 9. Data Science Application in R - Automated Web Scraping Bot/21. Web Scraping Use Case Context Setting.vtt 7KB
  119. 6. R Data Structure - Lists/6. Lists - Nuances in Determining Length and Class of Elements.vtt 7KB
  120. 6. R Data Structure - Lists/1. Lists - Getting Introduced to one of the most powerful data structures in R.vtt 7KB
  121. 9. Data Science Application in R - Automated Web Scraping Bot/18. Automated Web Scraping - Initialising RSelenium Server.vtt 7KB
  122. 9. Data Science Application in R - Automated Web Scraping Bot/25. Starting Selenium Server - The right way!.vtt 7KB
  123. 9. Data Science Application in R - Automated Web Scraping Bot/35.1 final_script_web_scraping.txt.txt 7KB
  124. 3. R Data Types/2. Complex and Character Data Types (Atomic).vtt 7KB
  125. 2. R Fundamentals/4. R Basics - Loading and Executing R scripts from local file system.vtt 7KB
  126. 4. R Data Structure - Vectors/2. Vectors - Comparing different ways to create vectors in R!.vtt 7KB
  127. 9. Data Science Application in R - Automated Web Scraping Bot/23. Systematic analysis of website for efficient Scraping.vtt 7KB
  128. 4. R Data Structure - Vectors/5. Vectors - Flatness property and its critical implications in Indexing!.vtt 7KB
  129. 9. Data Science Application in R - Automated Web Scraping Bot/17. Automated Web Scraping - installing RSelenium in R.vtt 6KB
  130. 8. R Control Structures/1. While Loops in R.vtt 6KB
  131. 4. R Data Structure - Vectors/7. Vectors - Assigning Attributes and its use-case as Metadata.vtt 6KB
  132. 6. R Data Structure - Lists/8. List - Comparison of Indexing ways and Implications.vtt 6KB
  133. 6. R Data Structure - Lists/4. Lists - Converting to and from Vectors and implications (coercion, flatness).vtt 6KB
  134. 9. Data Science Application in R - Automated Web Scraping Bot/15. Automating Web Scraping - RSelenium!.vtt 6KB
  135. 6. R Data Structure - Lists/2. Lists - Comparing with Vectors w.r.t Heterogeneity and Introducing Indexing.vtt 6KB
  136. 3. R Data Types/3. Character Data Type (Atomic) + Important Data Transformation Functions (1).vtt 6KB
  137. 8. R Control Structures/3. If Else Structures in R.vtt 6KB
  138. 5. R Data Structure - Matrices/6. Matrices - Advanced Indexing using DimensionNames.vtt 5KB
  139. 5. R Data Structure - Matrices/4. Matrices - Dimensions (Advanced) and Intro to Indexing.vtt 5KB
  140. 3. R Data Types/6. Logical Data Type (Atomic) and Its known Implications.vtt 5KB
  141. 9. Data Science Application in R - Automated Web Scraping Bot/24. Installing and Loading RSelenium.vtt 5KB
  142. 6. R Data Structure - Lists/5. Lists - Nuances in Determining Length in the context of Recursiveness.vtt 5KB
  143. 1. Introduction/1. Warm Welcome!.vtt 4KB
  144. 3. R Data Types/4. Character Data Type (Atomic) + Important Data Transformation Functions (2).vtt 4KB
  145. 8. R Control Structures/5. If Else Structures in R (3).vtt 4KB
  146. 6. R Data Structure - Lists/3. Lists - Comprehending their Recursive Nature in comparison with Vectors.vtt 4KB
  147. 5. R Data Structure - Matrices/5. Matrices - Indexing Continued.vtt 4KB
  148. 7. R Data Structure - Data Frames/5. Data Frames - Creation from Lists, Matrices and Vectors.vtt 4KB
  149. 9. Data Science Application in R - Automated Web Scraping Bot/7. Web Scraping - Contextual understanding of HTML.vtt 3KB
  150. 7. R Data Structure - Data Frames/4. Data Frames - Creation from Lists.vtt 3KB
  151. 2. R Fundamentals/2. Getting to know R - Setting Context.vtt 3KB
  152. 9. Data Science Application in R - Automated Web Scraping Bot/26. Handling RSelenium's Driver Issues.vtt 2KB
  153. 9. Data Science Application in R - Automated Web Scraping Bot/12. Web Scraping on Steroids - XPath in R (2).vtt 1KB
  154. 2. R Fundamentals/5. Handling Working Directory.html 145B
  155. 3. R Data Types/8. Data Types Coercions.html 145B
  156. 4. R Data Structure - Vectors/8. Indexing Vectors.html 145B
  157. [Tutorialsplanet.NET].url 128B
  158. 9. Data Science Application in R - Automated Web Scraping Bot/26.1 gecko_driver_download_link.txt.txt 39B