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

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

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种子哈希：1dd14e7e3cc63d0ce5c7ea47b429bf52353a0553
文件大小： 2.18G
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收录时间：2021-03-08
最近下载：2025-07-27

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文件列表

  • 4. Pandas Building Blocks/13. Filtering Dataframes.mp4 96.5 MB
  • 4. Pandas Building Blocks/16. Merging & Joining.mp4 93.7 MB
  • 4. Pandas Building Blocks/7. Adding & Deleting Columns.mp4 83.8 MB
  • 5. Building Our Model/10. Player Comparison Function.mp4 80.2 MB
  • 6. Measuring Our Model/1. Using RSME to Evaluate Our Model.mp4 79.1 MB
  • 5. Building Our Model/11. Projecting 2018-19 Season Stats.mp4 76.8 MB
  • 5. Building Our Model/3. Normalizing Season Data.mp4 73.8 MB
  • 5. Building Our Model/8. Weighting Stat Columns.mp4 72.9 MB
  • 7. Winning Your Fantasy League/4. Draft Preparation.mp4 69.7 MB
  • 5. Building Our Model/6. Calculating Player Similarity.mp4 66.9 MB
  • 6. Measuring Our Model/2. Comparing to Competitors Pt. 1.mp4 65.7 MB
  • 4. Pandas Building Blocks/18. Applying Functions.mp4 64.7 MB
  • 7. Winning Your Fantasy League/3. Getting Our Baseline Numbers.mp4 62.8 MB
  • 4. Pandas Building Blocks/5. Attributes & Methods.mp4 60.8 MB
  • 4. Pandas Building Blocks/12. Sorting Dataframes.mp4 58.3 MB
  • 4. Pandas Building Blocks/11. Inplace Parameter.mp4 55.7 MB
  • 4. Pandas Building Blocks/14. Groupby.mp4 53.6 MB
  • 5. Building Our Model/2. Cleaning NBA Data.mp4 53.6 MB
  • 7. Winning Your Fantasy League/1. Converting to Fantasy Points.mp4 52.0 MB
  • 4. Pandas Building Blocks/6. Selecting Columns.mp4 49.1 MB
  • 1. Introduction/1. Course Intro.mp4 47.8 MB
  • 5. Building Our Model/9. Weighted Avg. Using Multiple Players Next Season.mp4 46.5 MB
  • 4. Pandas Building Blocks/10. Adding & Dropping Rows.mp4 45.9 MB
  • 5. Building Our Model/5. Find Player Function.mp4 45.6 MB
  • 1. Introduction/4. Modules & Packages.mp4 43.3 MB
  • 4. Pandas Building Blocks/3. Creating a Dataframe.mp4 41.9 MB
  • 6. Measuring Our Model/3. Comparing to Competitors Pt. 2.mp4 41.9 MB
  • 5. Building Our Model/4. Player Distance Function.mp4 40.4 MB
  • 4. Pandas Building Blocks/4. Reading a CSV File.mp4 39.4 MB
  • 4. Pandas Building Blocks/15. Concatenate & Append.mp4 36.4 MB
  • 4. Pandas Building Blocks/9. Selecting Rows.mp4 32.3 MB
  • 3. Python Fundamentals/5. Lists.mp4 31.3 MB
  • 2. Jupyter Notebook/1. Setting Up Jupyter Notebook.mp4 30.8 MB
  • 7. Winning Your Fantasy League/5. Wrapping Up & Model Blind Spots.mp4 29.7 MB
  • 3. Python Fundamentals/8. If Else Statements.mp4 29.7 MB
  • 5. Building Our Model/7. Comparing Multiple Players in a For Loop.mp4 28.6 MB
  • 4. Pandas Building Blocks/8. Renaming Columns.mp4 28.1 MB
  • 1. Introduction/3. Virtual Environments.mp4 25.9 MB
  • 5. Building Our Model/1. Projection Model Overview.mp4 25.2 MB
  • 3. Python Fundamentals/7. For Loops.mp4 24.7 MB
  • 1. Introduction/2. Installation.mp4 22.8 MB
  • 4. Pandas Building Blocks/19. Arrays.mp4 21.9 MB
  • 7. Winning Your Fantasy League/2. Value Based Drafting.mp4 20.5 MB
  • 2. Jupyter Notebook/2. Cell Types & Kernels.mp4 20.2 MB
  • 2. Jupyter Notebook/3. Running Code.mp4 19.6 MB
  • 3. Python Fundamentals/6. Dictionaries.mp4 19.3 MB
  • 4. Pandas Building Blocks/17. Iterating Over Dataframes.mp4 18.4 MB
  • 3. Python Fundamentals/9. Functions.mp4 17.9 MB
  • 3. Python Fundamentals/2. Importing Modules.mp4 16.5 MB
  • 6. Measuring Our Model/4. Adjusting Variables.mp4 15.4 MB
  • 3. Python Fundamentals/10. Arrays.mp4 14.9 MB
  • 4. Pandas Building Blocks/1. Pandas Intro.mp4 14.0 MB
  • 3. Python Fundamentals/3. Printing.mp4 11.1 MB
  • 3. Python Fundamentals/4. Variables & Raw Input.mp4 10.7 MB
  • 4. Pandas Building Blocks/2. Dataframes & Series.mp4 8.8 MB
  • 3. Python Fundamentals/1. Python Overview.mp4 3.0 MB
  • 5. Building Our Model/8. Weighting Stat Columns.vtt 13.4 kB
  • 4. Pandas Building Blocks/16. Merging & Joining.vtt 11.8 kB
  • 5. Building Our Model/10. Player Comparison Function.vtt 11.1 kB
  • 7. Winning Your Fantasy League/3. Getting Our Baseline Numbers.vtt 11.0 kB
  • 5. Building Our Model/3. Normalizing Season Data.vtt 10.9 kB
  • 6. Measuring Our Model/1. Using RSME to Evaluate Our Model.vtt 10.9 kB
  • 5. Building Our Model/2. Cleaning NBA Data.vtt 10.5 kB
  • 5. Building Our Model/11. Projecting 2018-19 Season Stats.vtt 10.4 kB
  • 6. Measuring Our Model/2. Comparing to Competitors Pt. 1.vtt 10.1 kB
  • 4. Pandas Building Blocks/13. Filtering Dataframes.vtt 9.5 kB
  • 5. Building Our Model/6. Calculating Player Similarity.vtt 9.2 kB
  • 4. Pandas Building Blocks/6. Selecting Columns.vtt 9.2 kB
  • 4. Pandas Building Blocks/5. Attributes & Methods.vtt 8.9 kB
  • 4. Pandas Building Blocks/18. Applying Functions.vtt 8.8 kB
  • 4. Pandas Building Blocks/7. Adding & Deleting Columns.vtt 8.4 kB
  • 1. Introduction/1. Course Intro.vtt 8.2 kB
  • 4. Pandas Building Blocks/10. Adding & Dropping Rows.vtt 7.9 kB
  • 5. Building Our Model/9. Weighted Avg. Using Multiple Players Next Season.vtt 7.6 kB
  • 5. Building Our Model/4. Player Distance Function.vtt 7.0 kB
  • 4. Pandas Building Blocks/14. Groupby.vtt 7.0 kB
  • 2. Jupyter Notebook/1. Setting Up Jupyter Notebook.vtt 6.9 kB
  • 7. Winning Your Fantasy League/1. Converting to Fantasy Points.vtt 6.8 kB
  • 7. Winning Your Fantasy League/4. Draft Preparation.vtt 6.7 kB
  • 4. Pandas Building Blocks/3. Creating a Dataframe.vtt 6.6 kB
  • 3. Python Fundamentals/8. If Else Statements.vtt 6.5 kB
  • 4. Pandas Building Blocks/12. Sorting Dataframes.vtt 6.4 kB
  • 4. Pandas Building Blocks/4. Reading a CSV File.vtt 6.2 kB
  • 3. Python Fundamentals/5. Lists.vtt 5.8 kB
  • 1. Introduction/4. Modules & Packages.vtt 5.7 kB
  • 4. Pandas Building Blocks/15. Concatenate & Append.vtt 5.7 kB
  • 4. Pandas Building Blocks/11. Inplace Parameter.vtt 5.5 kB
  • 5. Building Our Model/5. Find Player Function.vtt 5.5 kB
  • 6. Measuring Our Model/3. Comparing to Competitors Pt. 2.vtt 5.4 kB
  • 7. Winning Your Fantasy League/2. Value Based Drafting.vtt 5.2 kB
  • 5. Building Our Model/1. Projection Model Overview.vtt 5.2 kB
  • 3. Python Fundamentals/7. For Loops.vtt 5.1 kB
  • 4. Pandas Building Blocks/19. Arrays.vtt 4.7 kB
  • 4. Pandas Building Blocks/8. Renaming Columns.vtt 4.7 kB
  • 1. Introduction/3. Virtual Environments.vtt 4.6 kB
  • 1. Introduction/2. Installation.vtt 4.6 kB
  • 4. Pandas Building Blocks/9. Selecting Rows.vtt 4.5 kB
  • 2. Jupyter Notebook/2. Cell Types & Kernels.vtt 4.5 kB
  • 5. Building Our Model/7. Comparing Multiple Players in a For Loop.vtt 4.3 kB
  • 2. Jupyter Notebook/3. Running Code.vtt 4.3 kB
  • 7. Winning Your Fantasy League/5. Wrapping Up & Model Blind Spots.vtt 4.0 kB
  • 3. Python Fundamentals/9. Functions.vtt 3.4 kB
  • 3. Python Fundamentals/2. Importing Modules.vtt 3.3 kB
  • 3. Python Fundamentals/6. Dictionaries.vtt 3.3 kB
  • 4. Pandas Building Blocks/17. Iterating Over Dataframes.vtt 3.1 kB
  • 3. Python Fundamentals/10. Arrays.vtt 2.9 kB
  • 3. Python Fundamentals/3. Printing.vtt 2.2 kB
  • 6. Measuring Our Model/4. Adjusting Variables.vtt 2.2 kB
  • 3. Python Fundamentals/4. Variables & Raw Input.vtt 2.2 kB
  • 4. Pandas Building Blocks/1. Pandas Intro.vtt 2.1 kB
  • 4. Pandas Building Blocks/2. Dataframes & Series.vtt 2.0 kB
  • 3. Python Fundamentals/1. Python Overview.vtt 1.0 kB
  • 0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url 377 Bytes
  • 0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url 328 Bytes
  • 0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286 Bytes
  • 0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url 239 Bytes
  • 0. Websites you may like/How you can help Team-FTU.txt 229 Bytes
  • 5. Building Our Model/12.4 Comparing NBA Stars to their Statistical Contemporaries An Application of Machine Learning.html 185 Bytes
  • 2. Jupyter Notebook/4.1 Getting Started with Jupyter Notebook for Python.html 168 Bytes
  • 0. Websites you may like/3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url 163 Bytes
  • 5. Building Our Model/12.1 A Quick Introduction to K-Nearest Neighbors Algorithm.html 155 Bytes
  • 4. Pandas Building Blocks/20.3 A Quick Introduction to the “Pandas” Python Library.html 154 Bytes
  • 7. Winning Your Fantasy League/6.3 Optimizing draft strategies in fantasy football.html 152 Bytes
  • 4. Pandas Building Blocks/20.2 Using iloc, loc, & ix to select rows and columns in Pandas DataFrames.html 149 Bytes
  • 7. Winning Your Fantasy League/6.2 Win Your Snake Draft Calculating “Value Over Replacement”.html 149 Bytes
  • 1. Introduction/5. Resources.html 140 Bytes
  • 2. Jupyter Notebook/4. Resources.html 140 Bytes
  • 3. Python Fundamentals/11. Resources.html 140 Bytes
  • 4. Pandas Building Blocks/20. Resources.html 140 Bytes
  • 4. Pandas Building Blocks/20.8 Selecting Subset of Data in Pandas - Ted Petrou.html 140 Bytes
  • 5. Building Our Model/12. Resources.html 140 Bytes
  • 6. Measuring Our Model/5. Resources.html 140 Bytes
  • 7. Winning Your Fantasy League/6. Resources.html 140 Bytes
  • 3. Python Fundamentals/11.2 Data Science from Scratch First Principles with Python.html 136 Bytes
  • 4. Pandas Building Blocks/20.1 Join & Merge Pandas Dataframes - Chris Albon.html 134 Bytes
  • 4. Pandas Building Blocks/20.6 Intro to Pandas Data Structures.html 134 Bytes
  • 4. Pandas Building Blocks/20.7 Python Pandas Dataframes.html 133 Bytes
  • 4. Pandas Building Blocks/20.4 Python Numpy Array Tutorial.html 127 Bytes
  • 5. Building Our Model/12.3 Tutorial K Nearest Neighbors in Python.html 121 Bytes
  • 7. Winning Your Fantasy League/6.1 Value over replacement player.html 120 Bytes
  • 2. Jupyter Notebook/4.2 Jupyter Notebook for Beginners.html 117 Bytes
  • 6. Measuring Our Model/5.1 Python Machine Learning Tutorial Predicting Airbnb Prices.html 117 Bytes
  • 3. Python Fundamentals/11.1 Python For Loops.html 114 Bytes
  • 4. Pandas Building Blocks/20.5 Dropping Rows of Data Using Pandas.html 114 Bytes
  • 7. Winning Your Fantasy League/6.4 The Principles of VBD Revisited.html 108 Bytes
  • 1. Introduction/5.3 Github.html 104 Bytes
  • 1. Introduction/5.5 Pyenv.html 104 Bytes
  • 3. Python Fundamentals/11.3 Automate the Boring Stuff with Python.html 96 Bytes
  • 5. Building Our Model/12.2 NBA Math FATS Model.html 92 Bytes
  • 1. Introduction/5.1 Cleaning the Glass.html 90 Bytes
  • 2. Jupyter Notebook/4.3 Project Jupyter.html 81 Bytes
  • 1. Introduction/5.2 Homebrew.html 77 Bytes
  • 1. Introduction/5.4 Xcode.html 77 Bytes

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