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The fundamentals of Text Analysis with Supervised Machine Learning Online

In this Open Lab, we will first quickly review the fundamentals of text analysis and then apply a range of supervised learning techniques, including linear and logistic regression, L1 and L2 regularization, cross-validation (CV), K-Nearest Neighbors (KNN), and Support Vector Machines (SVMs), to analyze text data.

Date:: Wednesday, March 13, 2024
Time:: 10:00 am - 11:00 am
Time Zone:: Arizona Time (change)
Online:: This is an online event. Event URL will be sent via registration email.
Categories:: Workshop/Training

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Event Organizer

Namig Abbasov

Kerri Rittschof

Data Science and Analytics

The ASU Library acknowledges the twenty-three Native Nations that have inhabited this land for centuries. Arizona State University's four campuses are located in the Salt River Valley on ancestral territories of Indigenous peoples, including the Akimel O’odham (Pima) and Pee Posh (Maricopa) Indian Communities, whose care and keeping of these lands allows us to be here today. ASU Library acknowledges the sovereignty of these nations and seeks to foster an environment of success and possibility for Native American students and patrons. We are advocates for the incorporation of Indigenous knowledge systems and research methodologies within contemporary library practice. ASU Library welcomes members of the Akimel O’odham and Pee Posh, and all Native nations to the Library.