https://github.com/alessandrocorradini/university-of-minnesota-recommender-system-specialization
Repository for the Honor Track of Recommender Systems Specialization from University of Minnesota on Coursera
https://github.com/alessandrocorradini/university-of-minnesota-recommender-system-specialization
coursera coursera-assignment coursera-specialization mooc moocs recommendation-system recommender-system recommender-systems
Last synced: 2 months ago
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Repository for the Honor Track of Recommender Systems Specialization from University of Minnesota on Coursera
- Host: GitHub
- URL: https://github.com/alessandrocorradini/university-of-minnesota-recommender-system-specialization
- Owner: AlessandroCorradini
- Created: 2019-04-12T13:50:50.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-08-25T18:09:41.000Z (over 5 years ago)
- Last Synced: 2025-01-23T00:26:40.405Z (4 months ago)
- Topics: coursera, coursera-assignment, coursera-specialization, mooc, moocs, recommendation-system, recommender-system, recommender-systems
- Language: HTML
- Homepage:
- Size: 6.13 MB
- Stars: 31
- Watchers: 2
- Forks: 12
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Recommender Systems Specialization from University of Minnesota
## Overview
[Recommender Systems Specialization from University of Minnesota](https://www.coursera.org/specializations/recommender-systems) is an intermediate/advanced level specialization focused on Recommender System on Coursera Plaform.
## Courses in this Program
1) [Introduction to Recommender Systems: Non-Personalized and Content-Based](./01%20-%20Introduction%20to%20Recommender%20System%20-%20Non%20Personalized%20and%20Content-Based)
2) [Nearest Neighbor Collaborative Filtering](./02%20-%20Neares%20Neighbor%20Collaborative%20Filtering)
3) [Recommender Systems: Evaluation and Metrics](./03%20-%20Recommender%20Systems%20-%20Evaluation%20and%20Metrix)
4) [Matrix Factorization and Advanced Techniques](./04%20-%20Matrix%20Factorization%20and%20Advanced%20Techniques)
5) [Capstone - TODO](./05%20-%20Recommender%20Systems%20Capstone)
## Certificate of Completion
You can see the [Certificate of Completion - TODO](TODO) and other certificates in my [Certificates Repo](https://github.com/AlessandroCorradini/Certificates) that contains all my certificates obtained through my journey as a self-made Data Science and better developer.
### ⚠️ Disclaimer ⚠️
**Please, don't fork or copy this repository.**
**The Recommender Systems Specialization from University of Minnesota, is one of the hardest specializations on the Coursera plaform. You need to study a lot for succeed it.**