Antonio Feregrino - Generating embeddings for Yu-Gi-Oh Cards with NumPy | PyData London 2024

www.pydata.org Dive into the methodology of building a concurrence matrix to produce dense representations of cards, which pave the way for other, more interesting tasks such as recommendation systems. This session offers a blend of web scraping, clever coding practises and numpy's computational prowess, culminating in an illustrative card recommendation example. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...