Linear Regression: Statistical concepts, intuitions, and python

Galvanize Denver (Platte Street)

There are numerous statistical text books that cover Linear Regression in great detail, but require substantial statistical background, and perhaps as many blog postings that provide a one page, high level overview.  Sometimes code is included, sometimes not.  The goal of this event will be to bring all of that together in one place: providing a more detailed understanding of related statistical concepts, while providing intuitions for fundamental concepts in a non-technical way.  Python included.  
Topics covered: 
<UL>
<LI>Algorithm components</LI>
<LI>Data evaluation & hypothesis testing</LI>
<LI>Goodness of fit, model pitfalls, and non-technical intuitions</LI>
<LI>Homoscedasticity, multi-collinearity, and auto-correlation. </LI>
</UL>
About our Speaker: 
<A HREF="https://www.linkedin.com/in/samtriolo/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Sam Triolo</A> has been working in the Information Technology industry for 15 years, most of that in the Information Security space.  He started his career with IBM and now works in financial services.  He has a passion for Artificial Intelligence, real and imagined, and all things data.  
 
About our Sponsor
Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following:
<UL>
<LI>
Education - part-time and full-time training in web development, data science, and data engineering
</LI>
<LI>
Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth
</LI>
<LI>
Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences
</LI>
</UL>
To learn more about Galvanize, visit <A HREF="http://galvanize.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">galvanize.com</A>.

Galvanize

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Linear Regression: Statistical concepts, intuitions, and python

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