Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/maxhumber/bre
⭕️ Building Recommendation Engines
https://github.com/maxhumber/bre
lightfm machine-learning oreilly python scikit-learn
Last synced: 7 days ago
JSON representation
⭕️ Building Recommendation Engines
- Host: GitHub
- URL: https://github.com/maxhumber/bre
- Owner: maxhumber
- Created: 2019-06-28T16:45:35.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-05-01T23:45:54.000Z (over 1 year ago)
- Last Synced: 2024-05-02T05:00:55.006Z (8 months ago)
- Topics: lightfm, machine-learning, oreilly, python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 142 MB
- Stars: 59
- Watchers: 7
- Forks: 66
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
![O'Reilly home](https://cdn.oreillystatic.com/images/sitewide-headers/oreilly_logo_mark_red.svg)
### Building Recommendation Engines in Python
May 16, 2022
#### Katacoda Scenarios
1. [LightFM: Build an Explicit Feedback Recommendation Engine](https://learning.oreilly.com/scenarios/lightfm-build-an/9781492087731/)
2. [Spotlight: Build an Implicit Feedback Recommendation Engine](https://learning.oreilly.com/scenarios/spotlight-build-an/9781492087748/)
3. [Scikit-Learn: Build a Nearest Neighbors Recommendation Engine](https://learning.oreilly.com/scenarios/scikit-learn-build-a/9781492087755/)