/Recommender_System-WBS_CS_DS_8

Recommender Systems using popularity ranking, item- and user-based collaborative filters.

Primary LanguageJupyter Notebook

Recommender System (ranking and memory bases collaborative filters)

The notebook creates various recommenders for a small DVD store "WBSflix".
The used algorithms are popularity ranking, user-based- and item-based collaborative filtering.

The project was worked out 
in collaboration with Iman, Natascia and Sonali

The notebook is part of the ongoing project in module 8 
of WBS Coding School, Data Science Bootcamp #023.
All rights are reserved according to WBS regulations.

The notebook status is the final notebook of the module (or specific days of the module).
The notebook does not give a sampmle solution. It makes no claim on accuracy.

contact via https://www.linkedin.com/in/kaiko304