Intro to Machine Learning with scikit-learn - Part 1 - Strata Hadoop San Jose 2016

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Katrina Riehl (Continuum Analytics) and Jake Vanderplas (eScience Institute) present Part 1 of 'Intro to Machine Learning with scikit-learn' at the Strata + Hadoop World Conference in San Jose, CA on March 29, 2016.

Jake Vanderplas and Katrina Riehl offer an introduction to the core concepts of machine learning and the scikit-learn package. After introducing the scikit-learn API, we’ll use it to explore the basic categories of machine-learning problems and related topics such as feature selection and model validation and practice applying these tools to real-world datasets.

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why we are giving penalty='l2' inside logistic regression in sklearn?

abymathew

I think this speaker actually got his point across but his start was very shacky I almost tuned out. The examples were very good. Speaker has great potential for getting your products potential out. He could be a lot better if he can clean up his crutch words (um's, Ah's, So's that distract and at times break up the ideas and thoughts. The product almost sells itself. -

johnevans

Intro to Machine Learning with scikit-learn - Part 1 - Strata Hadoop San Jose 2016

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