Penalized Linear Regression in Python
Wednesday, October 22, 2014
Presented by: Luis Pedro Coelho
Duration: Approximately 60 minutes.
Linear regression is a basic tool for data analysis and with the invention of Lasso and Elastic Nets in the late 1990s, it has become even more powerful. In this webcast, learn how to use Ipython notebooks and scikit-learn to explore a dataset with different forms of regression and how to choose between them for your specific problem.
About Luis Pedro Coelho
Luis Pedro Coelho is a computational biologist, currently working at the European Molecular Biology Laboratory (EMBL) in Germany, although he spends part of his time in nearby Luxembourg. He uses computers and statistics to be able to extract biological meaning from big data. Luis has a PhD from the School of Computer Science at Carnegie Mellon University. You can learn about my work here http://luispedro.org/
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