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Data Mining with Python and NumPy - Build a Video Recommender System
00 Course Overview
01 Project Preview (2:48)
01 Mammoth Interactive Courses Introduction
00 About Mammoth Interactive (1:12)
01 How To Learn Online Effectively (13:46)
Source Files
02 Introduction to Python (Prerequisite)
00. Intro To Course And Python (9:57)
01. Variables (19:19)
02. Type Conversion Examples (10:06)
03. Operators (28:54)
04. Collections (8:24)
05. List Examples (19:41)
06. Tuples Examples (8:36)
07. Dictionaries Examples (14:26)
08. Ranges Examples (8:32)
09. Conditionals (6:43)
10. If Statement Examples (21:32)
11. Loops (29:42)
12. Functions (17:01)
13. Parameters And Return Values Examples (13:54)
14. Classes And Objects (34:11)
15. Inheritance Examples (17:29)
16. Static Members Examples (11:05)
17. Summary And Outro (4:08)
03 Build a Video Recommender with Data Mining
01 Build A Dataset (23:44)
02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y (10:05)
03 Compute Support And Confidence For All Channels (14:21)
04 Determine Which Videos Are Best To Recommend (9:57)
Source Files
03 Compute Support And Confidence For All Channels
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