Pavan Ramkumar | Pyglmnet: A Python package for elastic net regularized generalized linear model
2,218 views · Published 23 September 2016 · 45:26 · Indexed 27 October 2026
Channel: PyData · 2016 · Science & Technology
PyData Chicago 2016 Github: https://github.com/pavanramkumar/pydata-chicago-2016 Additional Tutorials: https://pavanramkumar.github.io/pydata-chicago-2016/#1 Pyglmnet: https://github.com/pavanramkumar/pyglmnet Documentation http://pavanramkumar.github.io/pyglmnet/ In the era of big data, and high performance computing, generalized linear models (GLMs) have come to be widely applied across the sciences, economics, business, and finance. Although a popular R package exists, there is no equivalent in Python. I developed pyglmnet to address this need. In this talk, I will give a theoretical overview of GLMs and demonstrate the package with examples. 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/YouTubeVideoTimestamps
More from this channel
-
31:23
Kostas Perifanos - Authorship Attribution Using Python
-
31:08
Prash Majmudar - Measuring the Digital Economy Using Big Data
-
36:26
Ian Ozsvald - The High Performance Python Landscape
-
37:48
Mike Muller - Shared Memory Parallelism with Python
-
35:01
Martin Goodson - Most Winning A/B Test Results are Illusory
-
30:19
Mark Basham - Python for High Throughput Science
-
1:13:42
David Cournapeau & Simon Jagoe - Narrowing the Gap Between Array Computing and Databases
-
31:38
Emlyn Clay - Phython, Pharmaceuticals & Discovery