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

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2022-11-12 21:32 2024-11-23 08:46 287 2.18 GB 56
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FreeTutorials Us UDEMY Build an NBA Fantasy Projection Model in Python with Pandas FTU

文件列表
  1. 1. Introduction/1. Course Intro.mp445.6MB
  2. 1. Introduction/2. Installation.mp421.77MB
  3. 1. Introduction/3. Virtual Environments.mp424.72MB
  4. 1. Introduction/4. Modules & Packages.mp441.31MB
  5. 2. Jupyter Notebook/1. Setting Up Jupyter Notebook.mp429.41MB
  6. 2. Jupyter Notebook/2. Cell Types & Kernels.mp419.22MB
  7. 2. Jupyter Notebook/3. Running Code.mp418.68MB
  8. 3. Python Fundamentals/1. Python Overview.mp42.87MB
  9. 3. Python Fundamentals/10. Arrays.mp414.17MB
  10. 3. Python Fundamentals/2. Importing Modules.mp415.77MB
  11. 3. Python Fundamentals/3. Printing.mp410.59MB
  12. 3. Python Fundamentals/4. Variables & Raw Input.mp410.18MB
  13. 3. Python Fundamentals/5. Lists.mp429.8MB
  14. 3. Python Fundamentals/6. Dictionaries.mp418.44MB
  15. 3. Python Fundamentals/7. For Loops.mp423.59MB
  16. 3. Python Fundamentals/8. If Else Statements.mp428.34MB
  17. 3. Python Fundamentals/9. Functions.mp417.03MB
  18. 4. Pandas Building Blocks/1. Pandas Intro.mp413.32MB
  19. 4. Pandas Building Blocks/10. Adding & Dropping Rows.mp443.76MB
  20. 4. Pandas Building Blocks/11. Inplace Parameter.mp453.08MB
  21. 4. Pandas Building Blocks/12. Sorting Dataframes.mp455.56MB
  22. 4. Pandas Building Blocks/13. Filtering Dataframes.mp492.03MB
  23. 4. Pandas Building Blocks/14. Groupby.mp451.1MB
  24. 4. Pandas Building Blocks/15. Concatenate & Append.mp434.74MB
  25. 4. Pandas Building Blocks/16. Merging & Joining.mp489.37MB
  26. 4. Pandas Building Blocks/17. Iterating Over Dataframes.mp417.54MB
  27. 4. Pandas Building Blocks/18. Applying Functions.mp461.68MB
  28. 4. Pandas Building Blocks/19. Arrays.mp420.92MB
  29. 4. Pandas Building Blocks/2. Dataframes & Series.mp48.36MB
  30. 4. Pandas Building Blocks/3. Creating a Dataframe.mp439.96MB
  31. 4. Pandas Building Blocks/4. Reading a CSV File.mp437.62MB
  32. 4. Pandas Building Blocks/5. Attributes & Methods.mp458.02MB
  33. 4. Pandas Building Blocks/6. Selecting Columns.mp446.84MB
  34. 4. Pandas Building Blocks/7. Adding & Deleting Columns.mp479.89MB
  35. 4. Pandas Building Blocks/8. Renaming Columns.mp426.76MB
  36. 4. Pandas Building Blocks/9. Selecting Rows.mp430.76MB
  37. 5. Building Our Model/1. Projection Model Overview.mp424.05MB
  38. 5. Building Our Model/10. Player Comparison Function.mp476.44MB
  39. 5. Building Our Model/11. Projecting 2018-19 Season Stats.mp473.21MB
  40. 5. Building Our Model/2. Cleaning NBA Data.mp451.1MB
  41. 5. Building Our Model/3. Normalizing Season Data.mp470.34MB
  42. 5. Building Our Model/4. Player Distance Function.mp438.56MB
  43. 5. Building Our Model/5. Find Player Function.mp443.5MB
  44. 5. Building Our Model/6. Calculating Player Similarity.mp463.83MB
  45. 5. Building Our Model/7. Comparing Multiple Players in a For Loop.mp427.23MB
  46. 5. Building Our Model/8. Weighting Stat Columns.mp469.53MB
  47. 5. Building Our Model/9. Weighted Avg. Using Multiple Players Next Season.mp444.39MB
  48. 6. Measuring Our Model/1. Using RSME to Evaluate Our Model.mp475.44MB
  49. 6. Measuring Our Model/2. Comparing to Competitors Pt. 1.mp462.67MB
  50. 6. Measuring Our Model/3. Comparing to Competitors Pt. 2.mp439.93MB
  51. 6. Measuring Our Model/4. Adjusting Variables.mp414.65MB
  52. 7. Winning Your Fantasy League/1. Converting to Fantasy Points.mp449.62MB
  53. 7. Winning Your Fantasy League/2. Value Based Drafting.mp419.56MB
  54. 7. Winning Your Fantasy League/3. Getting Our Baseline Numbers.mp459.93MB
  55. 7. Winning Your Fantasy League/4. Draft Preparation.mp466.51MB
  56. 7. Winning Your Fantasy League/5. Wrapping Up & Model Blind Spots.mp428.37MB
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