Making Sense of Data with Explainable AI (shapash Python library) скачать в хорошем качестве

Making Sense of Data with Explainable AI (shapash Python library)

In explainable AI, the focus is to make machine learning models interpretable. Shapash is a Python library that sets out to make machine learning interpretable and understable by everyone. It does this by displaying several visualization plots that allow data scientists and users to better understand their models and thus help to drive data-driven decision. In this video, I will be providing a high-level overview of Shapash and show you how it can be used for making sense of data in your data science projects. Links for this video GitHub https://github.com/MAIF/shapash Medium blog https://pub.towardsai.net/shapash-mak... Documentation https://shapash.readthedocs.io/ --------------- 🌟 Subscribe to this YouTube channel https://www.youtube.com/dataprofessor... 🌟 Join the Newsletter of Data Professor http://newsletter.dataprofessor.org 🌟 Buy me a coffee https://www.buymeacoffee.com/dataprof... 🌟 Download Kite for FREE https://www.kite.com/get-kite/?utm_me... ******************** ⭕ Playlist: Check out our other videos in the following playlists. ✅ Data Science 101: https://bit.ly/dataprofessor-ds101 ✅ Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-p... ✅ Data Science Virtual Internship: https://bit.ly/dataprofessor-internship ✅ Bioinformatics: http://bit.ly/dataprofessor-bioinform... ✅ Data Science Toolbox: https://bit.ly/dataprofessor-datascie... ✅ Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit ✅ Shiny (Web App in R): https://bit.ly/dataprofessor-shiny ✅ Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-c... ✅ Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas ✅ Python Data Science Project: https://bit.ly/dataprofessor-python-ds ✅ R Data Science Project: https://bit.ly/dataprofessor-r-ds ✅ Weka (No Code Machine Learning): http://bit.ly/dp-weka #shapash #explainableai #dataprofessor