Download Udemy | Build an NBA Fantasy Projection Model in Python with Pandas [FTU] Torrent

Torrent Contents Size: 2.18 GB

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

0. Websites you may like

0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url	URL	377 B
1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url	URL	328 B
2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	URL	286 B
3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url	URL	163 B
4. (FTUApps.com) Download Cracked Developers Applications For Free.url	URL	239 B
How you can help Team-FTU.txt	TXT	229 B

1. Introduction

1. Course Intro.mp4	MP4	45.6 MB
1. Course Intro.vtt	VTT	7.98 KB
2. Installation.mp4	MP4	21.77 MB
2. Installation.vtt	VTT	4.51 KB
3. Virtual Environments.mp4	MP4	24.72 MB
3. Virtual Environments.vtt	VTT	4.53 KB
4. Modules & Packages.mp4	MP4	41.31 MB
4. Modules & Packages.vtt	VTT	5.54 KB
5. Resources.html	HTML	140 B
5.1 Cleaning the Glass.html	HTML	90 B
5.2 Homebrew.html	HTML	77 B
5.3 Github.html	HTML	104 B
5.4 Xcode.html	HTML	77 B
5.5 Pyenv.html	HTML	104 B

2. Jupyter Notebook

1. Setting Up Jupyter Notebook.mp4	MP4	29.41 MB
1. Setting Up Jupyter Notebook.vtt	VTT	6.73 KB
2. Cell Types & Kernels.mp4	MP4	19.22 MB
2. Cell Types & Kernels.vtt	VTT	4.38 KB
3. Running Code.mp4	MP4	18.68 MB
3. Running Code.vtt	VTT	4.18 KB
4. Resources.html	HTML	140 B
4.1 Getting Started with Jupyter Notebook for Python.html	HTML	168 B
4.2 Jupyter Notebook for Beginners.html	HTML	117 B
4.3 Project Jupyter.html	HTML	81 B

3. Python Fundamentals

1. Python Overview.mp4	MP4	2.87 MB
1. Python Overview.vtt	VTT	1 KB
10. Arrays.mp4	MP4	14.17 MB
10. Arrays.vtt	VTT	2.83 KB
11. Resources.html	HTML	140 B
11.1 Python For Loops.html	HTML	114 B
11.2 Data Science from Scratch First Principles with Python.html	HTML	136 B
11.3 Automate the Boring Stuff with Python.html	HTML	96 B
2. Importing Modules.mp4	MP4	15.77 MB
2. Importing Modules.vtt	VTT	3.21 KB
3. Printing.mp4	MP4	10.59 MB
3. Printing.vtt	VTT	2.18 KB
4. Variables & Raw Input.mp4	MP4	10.18 MB
4. Variables & Raw Input.vtt	VTT	2.11 KB
5. Lists.mp4	MP4	29.8 MB
5. Lists.vtt	VTT	5.67 KB
6. Dictionaries.mp4	MP4	18.44 MB
6. Dictionaries.vtt	VTT	3.18 KB
7. For Loops.mp4	MP4	23.59 MB
7. For Loops.vtt	VTT	5 KB
8. If Else Statements.mp4	MP4	28.34 MB
8. If Else Statements.vtt	VTT	6.39 KB
9. Functions.mp4	MP4	17.03 MB
9. Functions.vtt	VTT	3.36 KB

4. Pandas Building Blocks

1. Pandas Intro.mp4	MP4	13.32 MB
1. Pandas Intro.vtt	VTT	2.04 KB
10. Adding & Dropping Rows.mp4	MP4	43.76 MB
10. Adding & Dropping Rows.vtt	VTT	7.72 KB
11. Inplace Parameter.mp4	MP4	53.08 MB
11. Inplace Parameter.vtt	VTT	5.41 KB
12. Sorting Dataframes.mp4	MP4	55.56 MB
12. Sorting Dataframes.vtt	VTT	6.26 KB
13. Filtering Dataframes.mp4	MP4	92.03 MB
13. Filtering Dataframes.vtt	VTT	9.27 KB
14. Groupby.mp4	MP4	51.1 MB
14. Groupby.vtt	VTT	6.81 KB
15. Concatenate & Append.mp4	MP4	34.74 MB
15. Concatenate & Append.vtt	VTT	5.53 KB
16. Merging & Joining.mp4	MP4	89.37 MB
16. Merging & Joining.vtt	VTT	11.48 KB
17. Iterating Over Dataframes.mp4	MP4	17.54 MB
17. Iterating Over Dataframes.vtt	VTT	3.01 KB
18. Applying Functions.mp4	MP4	61.68 MB
18. Applying Functions.vtt	VTT	8.58 KB
19. Arrays.mp4	MP4	20.92 MB
19. Arrays.vtt	VTT	4.59 KB
2. Dataframes & Series.mp4	MP4	8.36 MB
2. Dataframes & Series.vtt	VTT	1.94 KB
20. Resources.html	HTML	140 B
20.1 Join & Merge Pandas Dataframes - Chris Albon.html	HTML	134 B
20.2 Using iloc, loc, & ix to select rows and columns in Pandas DataFrames.html	HTML	149 B
20.3 A Quick Introduction to the “Pandas” Python Library.html	HTML	154 B
20.4 Python Numpy Array Tutorial.html	HTML	127 B
20.5 Dropping Rows of Data Using Pandas.html	HTML	114 B
20.6 Intro to Pandas Data Structures.html	HTML	134 B
20.7 Python Pandas Dataframes.html	HTML	133 B
20.8 Selecting Subset of Data in Pandas - Ted Petrou.html	HTML	140 B
3. Creating a Dataframe.mp4	MP4	39.96 MB
3. Creating a Dataframe.vtt	VTT	6.45 KB
4. Reading a CSV File.mp4	MP4	37.62 MB
4. Reading a CSV File.vtt	VTT	6.03 KB
5. Attributes & Methods.mp4	MP4	58.02 MB
5. Attributes & Methods.vtt	VTT	8.73 KB
6. Selecting Columns.mp4	MP4	46.84 MB
6. Selecting Columns.vtt	VTT	8.94 KB
7. Adding & Deleting Columns.mp4	MP4	79.89 MB
7. Adding & Deleting Columns.vtt	VTT	8.24 KB
8. Renaming Columns.mp4	MP4	26.76 MB
8. Renaming Columns.vtt	VTT	4.56 KB
9. Selecting Rows.mp4	MP4	30.76 MB
9. Selecting Rows.vtt	VTT	4.42 KB

5. Building Our Model

1. Projection Model Overview.mp4	MP4	24.05 MB
1. Projection Model Overview.vtt	VTT	5.04 KB
10. Player Comparison Function.mp4	MP4	76.44 MB
10. Player Comparison Function.vtt	VTT	10.82 KB
11. Projecting 2018-19 Season Stats.mp4	MP4	73.21 MB
11. Projecting 2018-19 Season Stats.vtt	VTT	10.13 KB
12. Resources.html	HTML	140 B
12.1 A Quick Introduction to K-Nearest Neighbors Algorithm.html	HTML	155 B
12.2 NBA Math FATS Model.html	HTML	92 B
12.3 Tutorial K Nearest Neighbors in Python.html	HTML	121 B
12.4 Comparing NBA Stars to their Statistical Contemporaries An Application of Machine Learning.html	HTML	185 B
2. Cleaning NBA Data.mp4	MP4	51.1 MB
2. Cleaning NBA Data.vtt	VTT	10.29 KB
3. Normalizing Season Data.mp4	MP4	70.34 MB
3. Normalizing Season Data.vtt	VTT	10.65 KB
4. Player Distance Function.mp4	MP4	38.56 MB
4. Player Distance Function.vtt	VTT	6.84 KB
5. Find Player Function.mp4	MP4	43.5 MB
5. Find Player Function.vtt	VTT	5.34 KB
6. Calculating Player Similarity.mp4	MP4	63.83 MB
6. Calculating Player Similarity.vtt	VTT	8.94 KB
7. Comparing Multiple Players in a For Loop.mp4	MP4	27.23 MB
7. Comparing Multiple Players in a For Loop.vtt	VTT	4.22 KB
8. Weighting Stat Columns.mp4	MP4	69.53 MB
8. Weighting Stat Columns.vtt	VTT	13.11 KB
9. Weighted Avg. Using Multiple Players Next Season.mp4	MP4	44.39 MB
9. Weighted Avg. Using Multiple Players Next Season.vtt	VTT	7.42 KB

6. Measuring Our Model

1. Using RSME to Evaluate Our Model.mp4	MP4	75.44 MB
1. Using RSME to Evaluate Our Model.vtt	VTT	10.61 KB
2. Comparing to Competitors Pt. 1.mp4	MP4	62.67 MB
2. Comparing to Competitors Pt. 1.vtt	VTT	9.88 KB
3. Comparing to Competitors Pt. 2.mp4	MP4	39.93 MB
3. Comparing to Competitors Pt. 2.vtt	VTT	5.29 KB
4. Adjusting Variables.mp4	MP4	14.65 MB
4. Adjusting Variables.vtt	VTT	2.11 KB
5. Resources.html	HTML	140 B
5.1 Python Machine Learning Tutorial Predicting Airbnb Prices.html	HTML	117 B

7. Winning Your Fantasy League

1. Converting to Fantasy Points.mp4	MP4	49.62 MB
1. Converting to Fantasy Points.vtt	VTT	6.61 KB
2. Value Based Drafting.mp4	MP4	19.56 MB
2. Value Based Drafting.vtt	VTT	5.11 KB
3. Getting Our Baseline Numbers.mp4	MP4	59.93 MB
3. Getting Our Baseline Numbers.vtt	VTT	10.7 KB
4. Draft Preparation.mp4	MP4	66.51 MB
4. Draft Preparation.vtt	VTT	6.53 KB
5. Wrapping Up & Model Blind Spots.mp4	MP4	28.37 MB
5. Wrapping Up & Model Blind Spots.vtt	VTT	3.87 KB
6. Resources.html	HTML	140 B
6.1 Value over replacement player.html	HTML	120 B
6.2 Win Your Snake Draft Calculating “Value Over Replacement”.html	HTML	149 B
6.3 Optimizing draft strategies in fantasy football.html	HTML	152 B
6.4 The Principles of VBD Revisited.html	HTML	108 B

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

Torrent Contents Size: 2.18 GB

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