Crash Course on Naive Bayes Classification
Naive Bayes is a technique from machine learning, useful for making classifications. Naive Bayes has all sorts of applications ranging from facial recognition to weather prediction to medical diagnoses to news classifications among others. In this webinar, we provide an introduction to Naive Bayes methods through theory and coding examples. By the end of the webinar, students should acquire a strong understanding of this technique.
Kevin D. Dayaratna
Chief Statistician, Data Scientist, and Senior Research Fellow at The Heritage Foundation
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