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[FreeTutorials Us] [UDEMY] Build an NBA Fantasy Projection Model in Python with Pandas [FTU]
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0. Websites you may like (Size: 2.18 GB) (Files: 153)
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How you can help Team-FTU.txt
1. Introduction
1. Course Intro.mp4
1. Course Intro.vtt
2. Installation.mp4
2. Installation.vtt
3. Virtual Environments.mp4
3. Virtual Environments.vtt
4. Modules & Packages.mp4
4. Modules & Packages.vtt
5. Resources.html
5.1 Cleaning the Glass.html
5.2 Homebrew.html
5.3 Github.html
5.4 Xcode.html
5.5 Pyenv.html
2. Jupyter Notebook
1. Setting Up Jupyter Notebook.mp4
1. Setting Up Jupyter Notebook.vtt
2. Cell Types & Kernels.mp4
2. Cell Types & Kernels.vtt
3. Running Code.mp4
3. Running Code.vtt
4. Resources.html
4.1 Getting Started with Jupyter Notebook for Python.html
4.2 Jupyter Notebook for Beginners.html
4.3 Project Jupyter.html
3. Python Fundamentals
1. Python Overview.mp4
1. Python Overview.vtt
10. Arrays.mp4
10. Arrays.vtt
11. Resources.html
11.1 Python For Loops.html
11.2 Data Science from Scratch First Principles with Python.html
11.3 Automate the Boring Stuff with Python.html
2. Importing Modules.mp4
2. Importing Modules.vtt
3. Printing.mp4
3. Printing.vtt
4. Variables & Raw Input.mp4
4. Variables & Raw Input.vtt
5. Lists.mp4
5. Lists.vtt
6. Dictionaries.mp4
6. Dictionaries.vtt
7. For Loops.mp4
7. For Loops.vtt
8. If Else Statements.mp4
8. If Else Statements.vtt
9. Functions.mp4
9. Functions.vtt
4. Pandas Building Blocks
1. Pandas Intro.mp4
1. Pandas Intro.vtt
10. Adding & Dropping Rows.mp4
10. Adding & Dropping Rows.vtt
11. Inplace Parameter.mp4
11. Inplace Parameter.vtt
12. Sorting Dataframes.mp4
12. Sorting Dataframes.vtt
13. Filtering Dataframes.mp4
13. Filtering Dataframes.vtt
14. Groupby.mp4
14. Groupby.vtt
15. Concatenate & Append.mp4
15. Concatenate & Append.vtt
16. Merging & Joining.mp4
16. Merging & Joining.vtt
17. Iterating Over Dataframes.mp4
17. Iterating Over Dataframes.vtt
18. Applying Functions.mp4
18. Applying Functions.vtt
19. Arrays.mp4
19. Arrays.vtt
2. Dataframes & Series.mp4
2. Dataframes & Series.vtt
20. Resources.html
20.1 Join & Merge Pandas Dataframes - Chris Albon.html
20.2 Using iloc, loc, & ix to select rows and columns in Pandas DataFrames.html
20.3 A Quick Introduction to the “Pandas†Python Library.html
20.4 Python Numpy Array Tutorial.html
20.5 Dropping Rows of Data Using Pandas.html
20.6 Intro to Pandas Data Structures.html
20.7 Python Pandas Dataframes.html
20.8 Selecting Subset of Data in Pandas - Ted Petrou.html
3. Creating a Dataframe.mp4
3. Creating a Dataframe.vtt
4. Reading a CSV File.mp4
4. Reading a CSV File.vtt
5. Attributes & Methods.mp4
5. Attributes & Methods.vtt
6. Selecting Columns.mp4
6. Selecting Columns.vtt
7. Adding & Deleting Columns.mp4
7. Adding & Deleting Columns.vtt
8. Renaming Columns.mp4
8. Renaming Columns.vtt
9. Selecting Rows.mp4
9. Selecting Rows.vtt
5. Building Our Model
1. Projection Model Overview.mp4
1. Projection Model Overview.vtt
10. Player Comparison Function.mp4
10. Player Comparison Function.vtt
11. Projecting 2018-19 Season Stats.mp4
11. Projecting 2018-19 Season Stats.vtt
12. Resources.html
12.1 A Quick Introduction to K-Nearest Neighbors Algorithm.html
12.2 NBA Math FATS Model.html
12.3 Tutorial K Nearest Neighbors in Python.html
12.4 Comparing NBA Stars to their Statistical Contemporaries An Application of Machine Learning.html
2. Cleaning NBA Data.mp4
2. Cleaning NBA Data.vtt
3. Normalizing Season Data.mp4
3. Normalizing Season Data.vtt
4. Player Distance Function.mp4
4. Player Distance Function.vtt
5. Find Player Function.mp4
5. Find Player Function.vtt
6. Calculating Player Similarity.mp4
6. Calculating Player Similarity.vtt
7. Comparing Multiple Players in a For Loop.mp4
7. Comparing Multiple Players in a For Loop.vtt
8. Weighting Stat Columns.mp4
8. Weighting Stat Columns.vtt
9. Weighted Avg. Using Multiple Players Next Season.mp4
9. Weighted Avg. Using Multiple Players Next Season.vtt
6. Measuring Our Model
1. Using RSME to Evaluate Our Model.mp4
1. Using RSME to Evaluate Our Model.vtt
2. Comparing to Competitors Pt. 1.mp4
2. Comparing to Competitors Pt. 1.vtt
3. Comparing to Competitors Pt. 2.mp4
3. Comparing to Competitors Pt. 2.vtt
4. Adjusting Variables.mp4
4. Adjusting Variables.vtt
5. Resources.html
5.1 Python Machine Learning Tutorial Predicting Airbnb Prices.html
7. Winning Your Fantasy League
1. Converting to Fantasy Points.mp4
1. Converting to Fantasy Points.vtt
2. Value Based Drafting.mp4
2. Value Based Drafting.vtt
3. Getting Our Baseline Numbers.mp4
3. Getting Our Baseline Numbers.vtt
4. Draft Preparation.mp4
4. Draft Preparation.vtt
5. Wrapping Up & Model Blind Spots.mp4
5. Wrapping Up & Model Blind Spots.vtt
6. Resources.html
6.1 Value over replacement player.html
6.2 Win Your Snake Draft Calculating “Value Over Replacementâ€.html
6.3 Optimizing draft strategies in fantasy football.html
6.4 The Principles of VBD Revisited.html
Torrent description
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