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SUMMARY:John Rick Manzanares (Dioscuri Centre in Topological Data Analysis
  / University of Silesia in Katowice)
DTSTART:20251201T113000Z
DTEND:20251201T133000Z
DTSTAMP:20260423T022745Z
UID:BNAT/7
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/BNAT/7/">Int
 roduction to Classification in Machine Learning</a>\nby John Rick Manzanar
 es (Dioscuri Centre in Topological Data Analysis / University of Silesia i
 n Katowice) as part of Basic Notions and Applied Topology Seminar\n\nLectu
 re held in Room 1 at the IMPAS\, Room 1.14 at the Institute of Informatics
  (University of Gdańsk).\n\nAbstract\nThis talk\, based on Chapter 4 of A
 n Introduction to Statistical Learning with Applications in Python\, explo
 res key methods for classification\, including logistic regression\, discr
 iminant analysis\, and $k$-nearest neighbors. We’ll discuss how these ap
 proaches model categorical outcomes\, evaluate their performance using met
 rics like accuracy and receiver-operating characteristic curve curves\, an
 d demonstrate their implementation through practical Python examples.\n
LOCATION:https://researchseminars.org/talk/BNAT/7/
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