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种子名称： [FreeTutorials.Us] [UDEMY] Build an NBA Fantasy Projection Model in Python with Pandas [FTU]
文件类型： 视频
文件数目： 56个文件
文件大小： 2.18 GB
收录时间： 2022-11-12 21:32
已经下载： 3次
资源热度： 226
最近下载： 2024-5-19 06:13

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

1. Introduction/1. Course Intro.mp445.6MB

1. Introduction/2. Installation.mp421.77MB

1. Introduction/3. Virtual Environments.mp424.72MB

1. Introduction/4. Modules & Packages.mp441.31MB

2. Jupyter Notebook/1. Setting Up Jupyter Notebook.mp429.41MB

2. Jupyter Notebook/2. Cell Types & Kernels.mp419.22MB

2. Jupyter Notebook/3. Running Code.mp418.68MB

3. Python Fundamentals/1. Python Overview.mp42.87MB

3. Python Fundamentals/10. Arrays.mp414.17MB

3. Python Fundamentals/2. Importing Modules.mp415.77MB

3. Python Fundamentals/3. Printing.mp410.59MB

3. Python Fundamentals/4. Variables & Raw Input.mp410.18MB

3. Python Fundamentals/5. Lists.mp429.8MB

3. Python Fundamentals/6. Dictionaries.mp418.44MB

3. Python Fundamentals/7. For Loops.mp423.59MB

3. Python Fundamentals/8. If Else Statements.mp428.34MB

3. Python Fundamentals/9. Functions.mp417.03MB

4. Pandas Building Blocks/1. Pandas Intro.mp413.32MB

4. Pandas Building Blocks/10. Adding & Dropping Rows.mp443.76MB

4. Pandas Building Blocks/11. Inplace Parameter.mp453.08MB

4. Pandas Building Blocks/12. Sorting Dataframes.mp455.56MB

4. Pandas Building Blocks/13. Filtering Dataframes.mp492.03MB

4. Pandas Building Blocks/14. Groupby.mp451.1MB

4. Pandas Building Blocks/15. Concatenate & Append.mp434.74MB

4. Pandas Building Blocks/16. Merging & Joining.mp489.37MB

4. Pandas Building Blocks/17. Iterating Over Dataframes.mp417.54MB

4. Pandas Building Blocks/18. Applying Functions.mp461.68MB

4. Pandas Building Blocks/19. Arrays.mp420.92MB

4. Pandas Building Blocks/2. Dataframes & Series.mp48.36MB

4. Pandas Building Blocks/3. Creating a Dataframe.mp439.96MB

4. Pandas Building Blocks/4. Reading a CSV File.mp437.62MB

4. Pandas Building Blocks/5. Attributes & Methods.mp458.02MB

4. Pandas Building Blocks/6. Selecting Columns.mp446.84MB

4. Pandas Building Blocks/7. Adding & Deleting Columns.mp479.89MB

4. Pandas Building Blocks/8. Renaming Columns.mp426.76MB

4. Pandas Building Blocks/9. Selecting Rows.mp430.76MB

5. Building Our Model/1. Projection Model Overview.mp424.05MB

5. Building Our Model/10. Player Comparison Function.mp476.44MB

5. Building Our Model/11. Projecting 2018-19 Season Stats.mp473.21MB

5. Building Our Model/2. Cleaning NBA Data.mp451.1MB

5. Building Our Model/3. Normalizing Season Data.mp470.34MB

5. Building Our Model/4. Player Distance Function.mp438.56MB

5. Building Our Model/5. Find Player Function.mp443.5MB

5. Building Our Model/6. Calculating Player Similarity.mp463.83MB

5. Building Our Model/7. Comparing Multiple Players in a For Loop.mp427.23MB

5. Building Our Model/8. Weighting Stat Columns.mp469.53MB

5. Building Our Model/9. Weighted Avg. Using Multiple Players Next Season.mp444.39MB

6. Measuring Our Model/1. Using RSME to Evaluate Our Model.mp475.44MB

6. Measuring Our Model/2. Comparing to Competitors Pt. 1.mp462.67MB

6. Measuring Our Model/3. Comparing to Competitors Pt. 2.mp439.93MB

6. Measuring Our Model/4. Adjusting Variables.mp414.65MB

7. Winning Your Fantasy League/1. Converting to Fantasy Points.mp449.62MB

7. Winning Your Fantasy League/2. Value Based Drafting.mp419.56MB

7. Winning Your Fantasy League/3. Getting Our Baseline Numbers.mp459.93MB

7. Winning Your Fantasy League/4. Draft Preparation.mp466.51MB

7. Winning Your Fantasy League/5. Wrapping Up & Model Blind Spots.mp428.37MB