Linda Uruchurtu: A Beginner's Guide to Random Forests - R vs Python | PyData London 2014 скачать в хорошем качестве

Linda Uruchurtu: A Beginner's Guide to Random Forests - R vs Python | PyData London 2014

Linda Uruchurtu: A Beginner's Guide to Random Forests - R vs Python PyData London 2014 In this talk I will give an overview of Random Forests and will show their versatility when attempting to predict song ratings using the EMI music data set. I will present results using the randomForest library in R and the scikit learn implementation in Python and discuss their performance. I will also comment on their ease of use from a beginner's point of view. www.pydata.org 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...