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Jupyter Notebook and Recording for the Data Science Webinar: Recommender Systems - From Simple to Complex

Following our webinar on demystifying the algorithms and methods employed in recommender systems, we have uploaded the full recording and the Jupyter notebook used for the demonstration. 

The recommender systems are maybe the most famous and the most interesting data science exemples with immediate impact on consumer behaviour and on product popularity.

If you missed the event, or if you'd like to visit again some of the aspects discussed, please watch the full recording available below.

If you want to further study and apply the examples in the webinar, you can download the Jupyter notebook used in the recording by following the link below to our github project.

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