Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

The Logistic Regression Trilogy [Videos]

DZone's Guide to

The Logistic Regression Trilogy [Videos]

Call your friends, grab your popcorn, and be the first to watch all three parts of this video trilogy on logistic regression!

· Big Data Zone ·
Free Resource

Hortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.

Watched all the trilogies on Netflix already? Then it’s time to change channels to KNIME TV on YouTube!

The brand new trilogy, bringing logistic regression with KNIME to your screen, is finally available in its entirety!

Call your friends, grab your popcorn, and be the first to watch all three parts!

The first video introduces the trilogy’s greatest character: the algorithm behind the Logistic Regression Learner node. The second video draws you into the intricacies of the algorithm’s configuration in the KNIME Learner Node, while the final video sees a happy ending, featuring the various options for memory handling and the output order of coefficients.

Behind the Scenes of Logistic Regression with KNIME:

Logistic Regression Node: Algorithm Settings:

Logistic Regression Node: Output Values and Memory Handling:

Hortonworks Community Connection (HCC) is an online collaboration destination for developers, DevOps, customers and partners to get answers to questions, collaborate on technical articles and share code examples from GitHub.  Join the discussion.

Topics:
big data ,logistic regression ,algorithm ,memory handling

Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}