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

Torrent Hash:
1DD14E7E3CC63D0CE5C7EA47B429BF52353A0553
Number of Files:
153
Content Size:
2.18GB
Convert On:
2019-09-24
Magnet Link:
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0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url
377B
0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url
328B
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239B
0. Websites you may like/How you can help Team-FTU.txt
229B
1. Introduction/1. Course Intro.mp4
45.6MB
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1. Introduction/2. Installation.mp4
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1. Introduction/5. Resources.html
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1. Introduction/5.1 Cleaning the Glass.html
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1. Introduction/5.3 Github.html
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1. Introduction/5.4 Xcode.html
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1. Introduction/5.5 Pyenv.html
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2. Jupyter Notebook/1. Setting Up Jupyter Notebook.mp4
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3. Python Fundamentals/11.3 Automate the Boring Stuff with Python.html
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3. Python Fundamentals/2. Importing Modules.mp4
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3. Python Fundamentals/8. If Else Statements.vtt
6.39KB
3. Python Fundamentals/9. Functions.mp4
17.03MB
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3.36KB
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13.32MB
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2.04KB
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43.76MB
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51.1MB
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34.74MB
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4. Pandas Building Blocks/17. Iterating Over Dataframes.mp4
17.54MB
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4. Pandas Building Blocks/18. Applying Functions.mp4
61.68MB
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4. Pandas Building Blocks/19. Arrays.mp4
20.92MB
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4. Pandas Building Blocks/2. Dataframes & Series.mp4
8.36MB
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1.94KB
4. Pandas Building Blocks/20. Resources.html
140B
4. Pandas Building Blocks/20.1 Join & Merge Pandas Dataframes - Chris Albon.html
134B
4. Pandas Building Blocks/20.2 Using iloc, loc, & ix to select rows and columns in Pandas DataFrames.html
149B
4. Pandas Building Blocks/20.3 A Quick Introduction to the “Pandas” Python Library.html
154B
4. Pandas Building Blocks/20.4 Python Numpy Array Tutorial.html
127B
4. Pandas Building Blocks/20.5 Dropping Rows of Data Using Pandas.html
114B
4. Pandas Building Blocks/20.6 Intro to Pandas Data Structures.html
134B
4. Pandas Building Blocks/20.7 Python Pandas Dataframes.html
133B
4. Pandas Building Blocks/20.8 Selecting Subset of Data in Pandas - Ted Petrou.html
140B
4. Pandas Building Blocks/3. Creating a Dataframe.mp4
39.96MB
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6.45KB
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37.62MB
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4. Pandas Building Blocks/5. Attributes & Methods.mp4
58.02MB
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8.73KB
4. Pandas Building Blocks/6. Selecting Columns.mp4
46.84MB
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4. Pandas Building Blocks/6. Selecting Columns.vtt
8.94KB
4. Pandas Building Blocks/7. Adding & Deleting Columns.mp4
79.89MB
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8.24KB
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26.76MB
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4.56KB
4. Pandas Building Blocks/9. Selecting Rows.mp4
30.76MB
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4. Pandas Building Blocks/9. Selecting Rows.vtt
4.42KB
5. Building Our Model/1. Projection Model Overview.mp4
24.05MB
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5. Building Our Model/1. Projection Model Overview.vtt
5.04KB
5. Building Our Model/10. Player Comparison Function.mp4
76.44MB
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10.82KB
5. Building Our Model/11. Projecting 2018-19 Season Stats.mp4
73.21MB
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5. Building Our Model/11. Projecting 2018-19 Season Stats.vtt
10.13KB
5. Building Our Model/12. Resources.html
140B
5. Building Our Model/12.1 A Quick Introduction to K-Nearest Neighbors Algorithm.html
155B
5. Building Our Model/12.2 NBA Math FATS Model.html
92B
5. Building Our Model/12.3 Tutorial K Nearest Neighbors in Python.html
121B
5. Building Our Model/12.4 Comparing NBA Stars to their Statistical Contemporaries An Application of Machine Learning.html
185B
5. Building Our Model/2. Cleaning NBA Data.mp4
51.1MB
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10.29KB
5. Building Our Model/3. Normalizing Season Data.mp4
70.34MB
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10.65KB
5. Building Our Model/4. Player Distance Function.mp4
38.56MB
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6.84KB
5. Building Our Model/5. Find Player Function.mp4
43.5MB
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5. Building Our Model/5. Find Player Function.vtt
5.34KB
5. Building Our Model/6. Calculating Player Similarity.mp4
63.83MB
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5. Building Our Model/6. Calculating Player Similarity.vtt
8.94KB
5. Building Our Model/7. Comparing Multiple Players in a For Loop.mp4
27.23MB
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4.22KB
5. Building Our Model/8. Weighting Stat Columns.mp4
69.53MB
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13.11KB
5. Building Our Model/9. Weighted Avg. Using Multiple Players Next Season.mp4
44.39MB
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7.42KB
6. Measuring Our Model/1. Using RSME to Evaluate Our Model.mp4
75.44MB
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6. Measuring Our Model/1. Using RSME to Evaluate Our Model.vtt
10.61KB
6. Measuring Our Model/2. Comparing to Competitors Pt. 1.mp4
62.67MB
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6. Measuring Our Model/2. Comparing to Competitors Pt. 1.vtt
9.88KB
6. Measuring Our Model/3. Comparing to Competitors Pt. 2.mp4
39.93MB
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6. Measuring Our Model/3. Comparing to Competitors Pt. 2.vtt
5.29KB
6. Measuring Our Model/4. Adjusting Variables.mp4
14.65MB
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6. Measuring Our Model/4. Adjusting Variables.vtt
2.11KB
6. Measuring Our Model/5. Resources.html
140B
6. Measuring Our Model/5.1 Python Machine Learning Tutorial Predicting Airbnb Prices.html
117B
7. Winning Your Fantasy League/1. Converting to Fantasy Points.mp4
49.62MB
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7. Winning Your Fantasy League/1. Converting to Fantasy Points.vtt
6.61KB
7. Winning Your Fantasy League/2. Value Based Drafting.mp4
19.56MB
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7. Winning Your Fantasy League/2. Value Based Drafting.vtt
5.11KB
7. Winning Your Fantasy League/3. Getting Our Baseline Numbers.mp4
59.93MB
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7. Winning Your Fantasy League/3. Getting Our Baseline Numbers.vtt
10.7KB
7. Winning Your Fantasy League/4. Draft Preparation.mp4
66.51MB
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7. Winning Your Fantasy League/4. Draft Preparation.vtt
6.53KB
7. Winning Your Fantasy League/5. Wrapping Up & Model Blind Spots.mp4
28.37MB
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7. Winning Your Fantasy League/5. Wrapping Up & Model Blind Spots.vtt
3.87KB
7. Winning Your Fantasy League/6. Resources.html
140B
7. Winning Your Fantasy League/6.1 Value over replacement player.html
120B
7. Winning Your Fantasy League/6.2 Win Your Snake Draft Calculating “Value Over Replacement”.html
149B
7. Winning Your Fantasy League/6.3 Optimizing draft strategies in fantasy football.html
152B
7. Winning Your Fantasy League/6.4 The Principles of VBD Revisited.html
108B

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