Introduction to Recommendation Engines
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01. Video: Intro
02. Video + Text: Example Recommendation Engines
03. Text: What's Ahead?
04. Video: Introduction to MovieTweetings
05. Notebook: MovieTweeting Data
06. Screencast: Solution MovieTweeting Data
07. Video: Ways to Recommend: Knowledge Based
08. Notebook: Knowledge Based
09. Screencast: Solution Knowledge Based
10. Video: More Personalized Recommendations
11. Video: Ways to Recommend: Collaborative Filtering
12. Video + Quiz: Collaborative Filtering & Content Based Recs
13. Video + Text: Measuring Similarity
14. Notebook: Measuring Similarity
15. Screencast: Solution Measuring Similarity
16. Video: Identifying Recommendations
17. Notebook: Collaborative Filtering
18. Screencast: Solution Collaborative Filtering
19. Screencast: Solutions for Collaborative Filtering
20. Video: Ways to Recommend: Content Based
21. Notebook: Content Based
22. Screencast: Solution Content Based
23. Video: Three Types of Recommendation Systems
24. Text: More Recommendation Technniques
25. Quiz: Recommendation Methods
26. Video: Types of Ratings
27. Video: Goals of Recommendation Systems
28. Quiz: Types of Ratings & Goals of Recommendation Systems
29. Video: Outro
30. Text: Recap
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05. Notebook: MovieTweeting Data
Code
If you need a code on the
https://github.com/udacity
.
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