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[] [UDEMY] Build an NBA Fantasy Projection Model in Python with Pandas [FTU]

  • 收录时间:2021-08-08 13:26:24
  • 文件大小:2GB
  • 下载次数:1
  • 最近下载:2021-08-08 13:26:24
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文件列表

  1. 4. Pandas Building Blocks/13. Filtering Dataframes.mp4 92MB
  2. 4. Pandas Building Blocks/16. Merging & Joining.mp4 89MB
  3. 4. Pandas Building Blocks/7. Adding & Deleting Columns.mp4 80MB
  4. 5. Building Our Model/10. Player Comparison Function.mp4 76MB
  5. 6. Measuring Our Model/1. Using RSME to Evaluate Our Model.mp4 75MB
  6. 5. Building Our Model/11. Projecting 2018-19 Season Stats.mp4 73MB
  7. 5. Building Our Model/3. Normalizing Season Data.mp4 70MB
  8. 5. Building Our Model/8. Weighting Stat Columns.mp4 70MB
  9. 7. Winning Your Fantasy League/4. Draft Preparation.mp4 67MB
  10. 5. Building Our Model/6. Calculating Player Similarity.mp4 64MB
  11. 6. Measuring Our Model/2. Comparing to Competitors Pt. 1.mp4 63MB
  12. 4. Pandas Building Blocks/18. Applying Functions.mp4 62MB
  13. 7. Winning Your Fantasy League/3. Getting Our Baseline Numbers.mp4 60MB
  14. 4. Pandas Building Blocks/5. Attributes & Methods.mp4 58MB
  15. 4. Pandas Building Blocks/12. Sorting Dataframes.mp4 56MB
  16. 4. Pandas Building Blocks/11. Inplace Parameter.mp4 53MB
  17. 4. Pandas Building Blocks/14. Groupby.mp4 51MB
  18. 5. Building Our Model/2. Cleaning NBA Data.mp4 51MB
  19. 7. Winning Your Fantasy League/1. Converting to Fantasy Points.mp4 50MB
  20. 4. Pandas Building Blocks/6. Selecting Columns.mp4 47MB
  21. 1. Introduction/1. Course Intro.mp4 46MB
  22. 5. Building Our Model/9. Weighted Avg. Using Multiple Players Next Season.mp4 44MB
  23. 4. Pandas Building Blocks/10. Adding & Dropping Rows.mp4 44MB
  24. 5. Building Our Model/5. Find Player Function.mp4 43MB
  25. 1. Introduction/4. Modules & Packages.mp4 41MB
  26. 4. Pandas Building Blocks/3. Creating a Dataframe.mp4 40MB
  27. 6. Measuring Our Model/3. Comparing to Competitors Pt. 2.mp4 40MB
  28. 5. Building Our Model/4. Player Distance Function.mp4 39MB
  29. 4. Pandas Building Blocks/4. Reading a CSV File.mp4 38MB
  30. 4. Pandas Building Blocks/15. Concatenate & Append.mp4 35MB
  31. 4. Pandas Building Blocks/9. Selecting Rows.mp4 31MB
  32. 3. Python Fundamentals/5. Lists.mp4 30MB
  33. 2. Jupyter Notebook/1. Setting Up Jupyter Notebook.mp4 29MB
  34. 7. Winning Your Fantasy League/5. Wrapping Up & Model Blind Spots.mp4 28MB
  35. 3. Python Fundamentals/8. If Else Statements.mp4 28MB
  36. 5. Building Our Model/7. Comparing Multiple Players in a For Loop.mp4 27MB
  37. 4. Pandas Building Blocks/8. Renaming Columns.mp4 27MB
  38. 1. Introduction/3. Virtual Environments.mp4 25MB
  39. 5. Building Our Model/1. Projection Model Overview.mp4 24MB
  40. 3. Python Fundamentals/7. For Loops.mp4 24MB
  41. 1. Introduction/2. Installation.mp4 22MB
  42. 4. Pandas Building Blocks/19. Arrays.mp4 21MB
  43. 7. Winning Your Fantasy League/2. Value Based Drafting.mp4 20MB
  44. 2. Jupyter Notebook/2. Cell Types & Kernels.mp4 19MB
  45. 2. Jupyter Notebook/3. Running Code.mp4 19MB
  46. 3. Python Fundamentals/6. Dictionaries.mp4 18MB
  47. 4. Pandas Building Blocks/17. Iterating Over Dataframes.mp4 18MB
  48. 3. Python Fundamentals/9. Functions.mp4 17MB
  49. 3. Python Fundamentals/2. Importing Modules.mp4 16MB
  50. 6. Measuring Our Model/4. Adjusting Variables.mp4 15MB
  51. 3. Python Fundamentals/10. Arrays.mp4 14MB
  52. 4. Pandas Building Blocks/1. Pandas Intro.mp4 13MB
  53. 3. Python Fundamentals/3. Printing.mp4 11MB
  54. 3. Python Fundamentals/4. Variables & Raw Input.mp4 10MB
  55. 4. Pandas Building Blocks/2. Dataframes & Series.mp4 8MB
  56. 3. Python Fundamentals/1. Python Overview.mp4 3MB
  57. 5. Building Our Model/8. Weighting Stat Columns.vtt 13KB
  58. 4. Pandas Building Blocks/16. Merging & Joining.vtt 11KB
  59. 5. Building Our Model/10. Player Comparison Function.vtt 11KB
  60. 7. Winning Your Fantasy League/3. Getting Our Baseline Numbers.vtt 11KB
  61. 5. Building Our Model/3. Normalizing Season Data.vtt 11KB
  62. 6. Measuring Our Model/1. Using RSME to Evaluate Our Model.vtt 11KB
  63. 5. Building Our Model/2. Cleaning NBA Data.vtt 10KB
  64. 5. Building Our Model/11. Projecting 2018-19 Season Stats.vtt 10KB
  65. 6. Measuring Our Model/2. Comparing to Competitors Pt. 1.vtt 10KB
  66. 4. Pandas Building Blocks/13. Filtering Dataframes.vtt 9KB
  67. 5. Building Our Model/6. Calculating Player Similarity.vtt 9KB
  68. 4. Pandas Building Blocks/6. Selecting Columns.vtt 9KB
  69. 4. Pandas Building Blocks/5. Attributes & Methods.vtt 9KB
  70. 4. Pandas Building Blocks/18. Applying Functions.vtt 9KB
  71. 4. Pandas Building Blocks/7. Adding & Deleting Columns.vtt 8KB
  72. 1. Introduction/1. Course Intro.vtt 8KB
  73. 4. Pandas Building Blocks/10. Adding & Dropping Rows.vtt 8KB
  74. 5. Building Our Model/9. Weighted Avg. Using Multiple Players Next Season.vtt 7KB
  75. 5. Building Our Model/4. Player Distance Function.vtt 7KB
  76. 4. Pandas Building Blocks/14. Groupby.vtt 7KB
  77. 2. Jupyter Notebook/1. Setting Up Jupyter Notebook.vtt 7KB
  78. 7. Winning Your Fantasy League/1. Converting to Fantasy Points.vtt 7KB
  79. 7. Winning Your Fantasy League/4. Draft Preparation.vtt 7KB
  80. 4. Pandas Building Blocks/3. Creating a Dataframe.vtt 6KB
  81. 3. Python Fundamentals/8. If Else Statements.vtt 6KB
  82. 4. Pandas Building Blocks/12. Sorting Dataframes.vtt 6KB
  83. 4. Pandas Building Blocks/4. Reading a CSV File.vtt 6KB
  84. 3. Python Fundamentals/5. Lists.vtt 6KB
  85. 1. Introduction/4. Modules & Packages.vtt 6KB
  86. 4. Pandas Building Blocks/15. Concatenate & Append.vtt 6KB
  87. 4. Pandas Building Blocks/11. Inplace Parameter.vtt 5KB
  88. 5. Building Our Model/5. Find Player Function.vtt 5KB
  89. 6. Measuring Our Model/3. Comparing to Competitors Pt. 2.vtt 5KB
  90. 7. Winning Your Fantasy League/2. Value Based Drafting.vtt 5KB
  91. 5. Building Our Model/1. Projection Model Overview.vtt 5KB
  92. 3. Python Fundamentals/7. For Loops.vtt 5KB
  93. 4. Pandas Building Blocks/19. Arrays.vtt 5KB
  94. 4. Pandas Building Blocks/8. Renaming Columns.vtt 5KB
  95. 1. Introduction/3. Virtual Environments.vtt 5KB
  96. 1. Introduction/2. Installation.vtt 5KB
  97. 4. Pandas Building Blocks/9. Selecting Rows.vtt 4KB
  98. 2. Jupyter Notebook/2. Cell Types & Kernels.vtt 4KB
  99. 5. Building Our Model/7. Comparing Multiple Players in a For Loop.vtt 4KB
  100. 2. Jupyter Notebook/3. Running Code.vtt 4KB
  101. 7. Winning Your Fantasy League/5. Wrapping Up & Model Blind Spots.vtt 4KB
  102. 3. Python Fundamentals/9. Functions.vtt 3KB
  103. 3. Python Fundamentals/2. Importing Modules.vtt 3KB
  104. 3. Python Fundamentals/6. Dictionaries.vtt 3KB
  105. 4. Pandas Building Blocks/17. Iterating Over Dataframes.vtt 3KB
  106. 3. Python Fundamentals/10. Arrays.vtt 3KB
  107. 3. Python Fundamentals/3. Printing.vtt 2KB
  108. 6. Measuring Our Model/4. Adjusting Variables.vtt 2KB
  109. 3. Python Fundamentals/4. Variables & Raw Input.vtt 2KB
  110. 4. Pandas Building Blocks/1. Pandas Intro.vtt 2KB
  111. 4. Pandas Building Blocks/2. Dataframes & Series.vtt 2KB
  112. 3. Python Fundamentals/1. Python Overview.vtt 1KB
  113. 0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url 377B
  114. 0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url 328B
  115. 0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286B
  116. 0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url 239B
  117. 0. Websites you may like/How you can help Team-FTU.txt 229B
  118. 5. Building Our Model/12.4 Comparing NBA Stars to their Statistical Contemporaries An Application of Machine Learning.html 185B
  119. 2. Jupyter Notebook/4.1 Getting Started with Jupyter Notebook for Python.html 168B
  120. 0. Websites you may like/3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url 163B
  121. 5. Building Our Model/12.1 A Quick Introduction to K-Nearest Neighbors Algorithm.html 155B
  122. 4. Pandas Building Blocks/20.3 A Quick Introduction to the “Pandas” Python Library.html 154B
  123. 7. Winning Your Fantasy League/6.3 Optimizing draft strategies in fantasy football.html 152B
  124. 4. Pandas Building Blocks/20.2 Using iloc, loc, & ix to select rows and columns in Pandas DataFrames.html 149B
  125. 7. Winning Your Fantasy League/6.2 Win Your Snake Draft Calculating “Value Over Replacement”.html 149B
  126. 1. Introduction/5. Resources.html 140B
  127. 2. Jupyter Notebook/4. Resources.html 140B
  128. 3. Python Fundamentals/11. Resources.html 140B
  129. 4. Pandas Building Blocks/20. Resources.html 140B
  130. 4. Pandas Building Blocks/20.8 Selecting Subset of Data in Pandas - Ted Petrou.html 140B
  131. 5. Building Our Model/12. Resources.html 140B
  132. 6. Measuring Our Model/5. Resources.html 140B
  133. 7. Winning Your Fantasy League/6. Resources.html 140B
  134. 3. Python Fundamentals/11.2 Data Science from Scratch First Principles with Python.html 136B
  135. 4. Pandas Building Blocks/20.1 Join & Merge Pandas Dataframes - Chris Albon.html 134B
  136. 4. Pandas Building Blocks/20.6 Intro to Pandas Data Structures.html 134B
  137. 4. Pandas Building Blocks/20.7 Python Pandas Dataframes.html 133B
  138. 4. Pandas Building Blocks/20.4 Python Numpy Array Tutorial.html 127B
  139. 5. Building Our Model/12.3 Tutorial K Nearest Neighbors in Python.html 121B
  140. 7. Winning Your Fantasy League/6.1 Value over replacement player.html 120B
  141. 2. Jupyter Notebook/4.2 Jupyter Notebook for Beginners.html 117B
  142. 6. Measuring Our Model/5.1 Python Machine Learning Tutorial Predicting Airbnb Prices.html 117B
  143. 3. Python Fundamentals/11.1 Python For Loops.html 114B
  144. 4. Pandas Building Blocks/20.5 Dropping Rows of Data Using Pandas.html 114B
  145. 7. Winning Your Fantasy League/6.4 The Principles of VBD Revisited.html 108B
  146. 1. Introduction/5.3 Github.html 104B
  147. 1. Introduction/5.5 Pyenv.html 104B
  148. 3. Python Fundamentals/11.3 Automate the Boring Stuff with Python.html 96B
  149. 5. Building Our Model/12.2 NBA Math FATS Model.html 92B
  150. 1. Introduction/5.1 Cleaning the Glass.html 90B
  151. 2. Jupyter Notebook/4.3 Project Jupyter.html 81B
  152. 1. Introduction/5.2 Homebrew.html 77B
  153. 1. Introduction/5.4 Xcode.html 77B