Skip to content
/ RecommenderSystemsNotebooks Public

Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course

30 stars 18 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

caiomiyashiro/RecommenderSystemsNotebooks

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
Assignment Task Descriptions
Assignment Task Descriptions
 
 
Coursera Slides
Coursera Slides
 
 
data
data
 
 
images
images
 
 
papers
papers
 
 
.gitignore
.gitignore
 
 
Month 1 Part I - Non Personalised and Stereotyped Recommendation.ipynb
Month 1 Part I - Non Personalised and Stereotyped Recommendation.ipynb
 
 
Month 1 Part II - Discussions on Non-personalised Recommendations Metrics - 5 Star Evaluation.ipynb
Month 1 Part II - Discussions on Non-personalised Recommendations Metrics - 5 Star Evaluation.ipynb
 
 
Month 1 Part III - Content Based Recommendation.ipynb
Month 1 Part III - Content Based Recommendation.ipynb
 
 
Month 2 Part I - User User Collaborative Filtering.ipynb
Month 2 Part I - User User Collaborative Filtering.ipynb
 
 
Month 2 Part II - Item Item Collaborative Filtering.ipynb
Month 2 Part II - Item Item Collaborative Filtering.ipynb
 
 
Month 2 Part III - Notes on Similarity Metrics for CF.ipynb
Month 2 Part III - Notes on Similarity Metrics for CF.ipynb
 
 
Month 3 Part I - Evaluation - Introduction and Offline Evaluation.ipynb
Month 3 Part I - Evaluation - Introduction and Offline Evaluation.ipynb
 
 
Month 4 Part I - Matrix Factorization Basics.ipynb
Month 4 Part I - Matrix Factorization Basics.ipynb
 
 
Month 4 Part II - Hybrid Recommenders Notes.ipynb
Month 4 Part II - Hybrid Recommenders Notes.ipynb
 
 
Month 5 Part I - Capstone Assignment II - Metrics Calculation.ipynb
Month 5 Part I - Capstone Assignment II - Metrics Calculation.ipynb
 
 
README.md
README.md
 
 

Repository files navigation

Recommender Systems Notebooks

drawing

This repository contains materials and analysis for the Coursera's Recommender Systems specialization.
Most of the notebooks here are of my own creation and are a rethinking of the main content that I used to learn more about the topic, in case of errors, please let me know.

Each of the notebooks provide a theory about the topic, followed by some of the exercises done in class.

About

Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course

Topics

recommender-system

Resources

Readme
Activity

Stars

30 stars

Watchers

3 watching

Forks

18 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages